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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. 6-RES-JB
    11. 15342
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    Explanations

    phrases indicating totality or inclusivity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a focus on comprehensiveness or entirety

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciation
    -0.73
    IDS
    -0.71
    FH
    -0.70
    knife
    -0.67
    yip
    -0.66
    reat
    -0.65
    aminer
    -0.65
     guiIcon
    -0.64
    SHIP
    -0.64
    rouse
    -0.62
    POSITIVE LOGITS
    ocating
    1.37
    uding
    1.07
    ocated
    1.01
    uring
    0.96
    owing
    0.93
     sorts
    0.93
    usion
    0.89
    usions
    0.87
     kinds
    0.87
    ergic
    0.87
    Activations Density 0.051%

    No Known Activations