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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. 2159
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    Explanations

    words related to medical conditions or treatments, especially pertaining to "op" endings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific chemical compounds or substances

    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
    CRIPTION
    -0.68
     Monstrous
    -0.68
     Sins
    -0.66
     Lauder
    -0.66
    IGHTS
    -0.66
     LIA
    -0.64
    âĸ¬
    -0.63
    è£
    -0.62
     complimentary
    -0.62
     Brotherhood
    -0.62
    POSITIVE LOGITS
    inion
    1.29
    yright
    1.28
    olitan
    1.16
    aque
    1.11
    rompt
    1.10
    edia
    1.09
    sych
    1.05
    ropri
    1.01
    arent
    1.01
    osit
    1.00
    Activations Density 0.017%

    No Known Activations