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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. 10-RES-JB
    11. 10205
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    Explanations

    specific historical or time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to early events or historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    md
    -0.85
    pherd
    -0.79
    agree
    -0.74
    Pool
    -0.72
    lua
    -0.71
    unal
    -0.69
    bnb
    -0.68
    arse
    -0.67
    Msg
    -0.66
    ractor
    -0.66
    POSITIVE LOGITS
     iterations
    1.14
     stages
    1.13
     adop
    1.10
     incarnation
    1.06
     drafts
    1.04
     phases
    1.04
     beginnings
    1.03
     incarn
    1.02
     generations
    1.01
     versions
    1.01
    Activations Density 0.083%

    No Known Activations