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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. 1-RES-JB
    11. 18071
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    Explanations

    words related to cues and signals

    oai_token-act-pair · gpt-3.5-turbo

    references to cues and signals in social or contextual situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.81
     unsolved
    -0.77
    ctic
    -0.65
    ights
    -0.63
    hood
    -0.62
     unpublished
    -0.62
    ctica
    -0.62
    isf
    -0.61
     extrem
    -0.59
    oslav
    -0.59
    POSITIVE LOGITS
     cue
    1.49
     cues
    1.26
     Cue
    0.86
    llor
    0.82
    cue
    0.78
     toile
    0.77
    tale
    0.74
    etus
    0.73
    icion
    0.73
     hint
    0.69
    Activations Density 0.009%

    No Known Activations