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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. 9-RES-JB
    11. 4985
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    Explanations

    negative characteristics or attitudes related to close-mindedness

    oai_token-act-pair · gpt-3.5-turbo

    words related to open-mindedness and attitudes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISTER
    -0.80
    ãĥĺãĥ©
    -0.80
    URA
    -0.78
    IVER
    -0.76
    aterial
    -0.75
    ioxide
    -0.72
    flat
    -0.71
    anguage
    -0.70
    utonium
    -0.68
    oother
    -0.68
    POSITIVE LOGITS
    ness
    1.47
    nesses
    1.09
     prag
    0.95
    smanship
    0.93
    edly
    0.91
    minded
    0.84
    liness
    0.81
     zeal
    0.81
     approach
    0.80
    NESS
    0.79
    Activations Density 0.164%

    No Known Activations