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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. 11-RES-JB
    11. 6885
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    Explanations

    words related to data analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms and variations related to analysis or analytical processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     allegiance
    -0.67
     Mercy
    -0.66
    END
    -0.65
     oblig
    -0.64
     occurrence
    -0.63
     origin
    -0.62
     obligation
    -0.61
     defect
    -0.61
    OCK
    -0.61
     innocence
    -0.60
    POSITIVE LOGITS
    tical
    1.81
    sts
    1.74
    zing
    1.73
    tics
    1.69
    tic
    1.66
    zed
    1.60
    zers
    1.60
    zes
    1.54
    ze
    1.54
    zer
    1.51
    Activations Density 0.049%

    No Known Activations