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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. 4-RES-JB
    11. 840
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    Explanations

    words related to physical constraint or pressure

    oai_token-act-pair · gpt-3.5-turbo

    terms related to restrictions and limitations

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

    No Comments

    Negative Logits
    Interstitial
    -0.76
    laughter
    -0.68
     Till
    -0.67
    calling
    -0.67
    urers
    -0.67
     Delivery
    -0.66
     Stain
    -0.64
     allerg
    -0.63
     Annotations
    -0.63
    respond
    -0.63
    POSITIVE LOGITS
    kered
    0.90
    itably
    0.89
    eenth
    0.79
     stra
    0.72
    pping
    0.70
    ibly
    0.68
    ichick
    0.67
    iously
    0.67
    itable
    0.66
     lifes
    0.65
    Activations Density 0.011%

    No Known Activations