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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. 3-RES-JB
    11. 8693
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    Explanations

    phrases indicating a sequence of events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Following" and related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imm
    -0.67
    venge
    -0.63
     âĢ¦"
    -0.62
     tresp
    -0.59
     prope
    -0.58
    pport
    -0.58
     purse
    -0.57
     ..."
    -0.55
    andering
    -0.55
     eternity
    -0.55
    POSITIVE LOGITS
     Issue
    0.85
    itialized
    0.82
    iasco
    0.81
    Based
    0.70
     Thoughts
    0.69
    Style
    0.68
    Of
    0.67
    ertain
    0.67
    Runner
    0.67
     Hits
    0.67
    Activations Density 0.066%

    No Known Activations