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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. 4-RES-JB
    11. 1397
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    Explanations

    phrases related to textual content structure

    oai_token-act-pair · gpt-3.5-turbo

    elements related to legal or formal documents

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

    No Comments

    Negative Logits
    azeera
    -0.70
    ynes
    -0.67
    ahime
    -0.59
    abama
    -0.58
    conservancy
    -0.57
    itton
    -0.55
    heastern
    -0.55
    ervatives
    -0.54
    cient
    -0.54
    chool
    -0.53
    POSITIVE LOGITS
    ciation
    0.67
     {*
    0.61
     Whats
    0.60
     "+
    0.56
     Osc
    0.55
    xxxxxxxx
    0.54
    Accessory
    0.52
     brackets
    0.52
     CV
    0.50
     itself
    0.49
    Activations Density 1.946%

    No Known Activations