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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. 8-RES-JB
    11. 14437
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    Explanations

    words related to tasks, projects, or efforts being pursued or undertaken

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to collaboration and effort

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    antha
    -0.77
    ylon
    -0.71
     Augustus
    -0.65
    iren
    -0.65
    anamo
    -0.63
     Bubble
    -0.62
    EStream
    -0.61
    ailable
    -0.60
    netflix
    -0.59
    ython
    -0.59
    POSITIVE LOGITS
     tirelessly
    1.26
     diligently
    1.19
     collabor
    1.12
    bench
    0.99
    hops
    0.96
     overtime
    0.93
     closely
    0.92
     toward
    0.91
     towards
    0.90
     furiously
    0.90
    Activations Density 0.079%

    No Known Activations