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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. 9-RES-JB
    11. 22942
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    Explanations

    phrases related to actions that were not carried out or knowledge that was lacking

    oai_token-act-pair · gpt-3.5-turbo

    instances of actions, particularly those involving decisions or consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    appropriately
    -0.52
    senal
    -0.50
    artney
    -0.49
    TPPStreamerBot
    -0.47
    farious
    -0.47
    luster
    -0.46
    "))
    -0.44
    abal
    -0.44
    izable
    -0.44
    ammad
    -0.44
    POSITIVE LOGITS
     tho
    0.78
     however
    0.75
     grate
    0.59
     accordingly
    0.55
     reprint
    0.53
     ital
    0.53
     therefore
    0.51
     moreover
    0.50
     meanwhile
    0.50
    phasis
    0.50
    Activations Density 1.446%

    No Known Activations