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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. 3-RES-JB
    11. 23924
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    Explanations

    numerical values in a specific range

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 62 in various numerical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.92
    pire
    -0.80
     Flavoring
    -0.75
    achus
    -0.74
    itionally
    -0.73
    iya
    -0.72
     disadvant
    -0.71
    spread
    -0.70
    parency
    -0.70
     pse
    -0.69
    POSITIVE LOGITS
    803
    0.99
    328
    0.95
     mph
    0.87
     ILCS
    0.84
    dfx
    0.84
    751
    0.83
    _.
    0.83
    mph
    0.82
    obal
    0.81
    75
    0.81
    Activations Density 0.033%

    No Known Activations