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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. 0-RES-JB
    11. 18235
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    INDEX
    Explanations

    words related to depth or deep exploration

    oai_token-act-pair · gpt-3.5-turbo

    references to depth or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resp
    -0.85
    dule
    -0.78
    von
    -0.75
     Prosecut
    -0.74
    advertising
    -0.69
    ILLE
    -0.68
    anners
    -0.68
    payers
    -0.67
     Regarding
    -0.67
     Equip
    -0.66
    POSITIVE LOGITS
     deep
    3.46
    deep
    2.44
    Deep
    2.43
     deeper
    2.35
     Deep
    2.21
     deepest
    2.10
     shallow
    1.78
     depth
    1.65
     deeply
    1.63
     depths
    1.57
    Activations Density 0.010%

    No Known Activations