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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. 7-RES-JB
    11. 8982
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    Explanations

    phrases where something is described as encompassing a wide scope or involving everything

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating totality or completeness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    knife
    -0.70
    ciation
    -0.69
    SHIP
    -0.68
    FH
    -0.67
     rusher
    -0.65
    yip
    -0.63
    IDS
    -0.63
    aminer
    -0.60
    rouse
    -0.58
    ritic
    -0.58
    POSITIVE LOGITS
    ocating
    1.33
    ocated
    1.08
    uring
    1.05
    uding
    1.04
     sorts
    1.02
    owing
    1.01
    usion
    0.94
    ergic
    0.94
    ocate
    0.91
    usions
    0.89
    Activations Density 0.065%

    No Known Activations