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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 15611
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    Explanations

    words related to specific objects, locations, or individuals that are being targeted for various actions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific objectives or subjects that are being targeted in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aug
    -0.81
     Geological
    -0.72
    SourceFile
    -0.71
    ATIONAL
    -0.70
    Captain
    -0.66
    OL
    -0.66
    ISTORY
    -0.66
    yg
    -0.66
    --------------------------------------------------------
    -0.65
    BuyableInstoreAndOnline
    -0.65
    POSITIVE LOGITS
     targets
    1.46
     target
    1.20
     targeted
    1.07
     targeting
    0.99
     prey
    0.94
    target
    0.86
     targ
    0.83
    oided
    0.83
    omething
    0.81
     recipients
    0.72
    Activations Density 0.005%

    No Known Activations