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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. 24176
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with legal and formal matters, as well as physical effects or consequences

    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
     throats
    -0.81
    asions
    -0.80
    doms
    -0.68
     administrations
    -0.66
     budgets
    -0.66
     axes
    -0.65
    seys
    -0.64
     wounds
    -0.64
    endas
    -0.64
     bodies
    -0.63
    POSITIVE LOGITS
    liest
    0.79
    ivated
    0.75
    ivating
    0.75
    uble
    0.73
     unto
    0.73
    igmatic
    0.72
     incarn
    0.71
    arily
    0.71
    iscovered
    0.70
    omorphic
    0.69
    Activations Density 1.210%

    No Known Activations