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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
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    Explanations

    words related to banks or banking activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bank" in various contexts

    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
     Whedon
    -0.76
     Horton
    -0.75
    Rust
    -0.72
     Loving
    -0.70
    ————————————————
    -0.70
    witz
    -0.65
    Else
    -0.65
    ————
    -0.64
     Hawth
    -0.63
     ANGEL
    -0.62
    POSITIVE LOGITS
    rupt
    1.02
    roll
    1.01
    notes
    1.01
    rolled
    0.98
    sters
    0.92
    redit
    0.88
     robber
    0.86
    note
    0.83
    osit
    0.83
    rarily
    0.81
    Activations Density 0.019%

    No Known Activations