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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. 9-RES-JB
    11. 18585
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    Explanations

    words related to transformation or change

    oai_token-act-pair · gpt-3.5-turbo

    words related to transformation and change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unts
    -0.69
    REL
    -0.66
    PLIED
    -0.66
    bis
    -0.65
    endment
    -0.63
     Reasons
    -0.63
    avering
    -0.62
    Found
    -0.61
     WARN
    -0.60
    draw
    -0.59
    POSITIVE LOGITS
    ively
    1.05
     into
    1.03
     INTO
    0.94
    into
    0.93
    ives
    0.86
    atted
    0.81
    ational
    0.79
     Into
    0.78
    ELF
    0.72
    oso
    0.71
    Activations Density 0.052%

    No Known Activations