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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. 11448
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    Explanations

    Link tags and commands in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and brackets

    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
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    No Comments

    Negative Logits
    İĭ
    -0.88
    Ń·
    -0.87
    ±
    -0.73
    kie
    -0.73
    Ļ½
    -0.73
     obser
    -0.71
     destro
    -0.69
    ij士
    -0.66
    «
    -0.66
    ality
    -0.65
    POSITIVE LOGITS
    LOG
    0.88
    +)
    0.75
    liquid
    0.71
    semble
    0.69
    ||||
    0.69
    byte
    0.68
     Entity
    0.68
    Extra
    0.68
     =>
    0.67
    Person
    0.67
    Activations Density 0.046%

    No Known Activations