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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. 6-RES-JB
    11. 14538
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    Explanations

    phrases related to electronic devices with a physical component

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to storytelling and narrative structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PF
    -0.73
    merce
    -0.70
    SEA
    -0.70
    terms
    -0.69
    Specific
    -0.68
    MON
    -0.67
    ophen
    -0.66
    idential
    -0.65
    vic
    -0.65
    Plot
    -0.65
    POSITIVE LOGITS
     forth
    0.81
     Tide
    0.72
    arching
    0.71
    puff
    0.69
     crawl
    0.65
    enment
    0.64
     sofa
    0.63
     throat
    0.61
    erers
    0.61
     heels
    0.60
    Activations Density 0.116%

    No Known Activations