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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. 894
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    Explanations

    company names, possibly related to reports or surveys

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'o'

    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
    quit
    -0.68
    ËĪ
    -0.64
    kefeller
    -0.63
     hump
    -0.60
    selves
    -0.60
     BASE
    -0.60
     Velvet
    -0.57
    Frames
    -0.57
     raft
    -0.57
    framework
    -0.57
    POSITIVE LOGITS
    icio
    0.91
    ë
    0.82
    asar
    0.81
    owship
    0.79
    cially
    0.76
    ador
    0.72
    steen
    0.72
    reau
    0.72
    ieri
    0.69
    rin
    0.68
    Activations Density 0.171%

    No Known Activations