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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. 188
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    INDEX
    Explanations

    names of people and their actions in a news context

    oai_token-act-pair · gpt-3.5-turbo

    verbs that indicate giving or offering actions

    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
    houses
    -0.71
    pmwiki
    -0.69
    ta
    -0.66
     THEY
    -0.63
    ipop
    -0.63
    hov
    -0.62
    folk
    -0.62
    agents
    -0.61
     violates
    -0.61
     inception
    -0.61
    POSITIVE LOGITS
     applause
    1.18
     praise
    1.10
     remarks
    0.96
     laughter
    0.94
     sarc
    0.89
     his
    0.88
     rhetorical
    0.88
     laughs
    0.87
     assurances
    0.86
     caveats
    0.86
    Activations Density 0.273%

    No Known Activations