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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. 2-RES-JB
    11. 15498
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    Explanations

    adjectives related to strength or power

    oai_token-act-pair · gpt-3.5-turbo

    references to strength or strong qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.78
    Hop
    -0.76
    rolley
    -0.74
    mits
    -0.73
    arthed
    -0.72
    ĸļ
    -0.69
     Sloan
    -0.69
    Mill
    -0.68
    rea
    -0.68
    RIP
    -0.66
    POSITIVE LOGITS
     enough
    0.99
    nesses
    0.93
     strength
    0.86
    enough
    0.85
     hitter
    0.84
     strong
    0.83
     winds
    0.78
     bonds
    0.77
     exponent
    0.76
    sword
    0.75
    Activations Density 0.019%

    No Known Activations