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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. 13924
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    INDEX
    Explanations

    positive or negative sentiments in statements

    oai_token-act-pair · gpt-3.5-turbo

    expressions of quality or intensity

    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
    ussions
    -0.77
     Juda
    -0.70
    ocations
    -0.67
    asures
    -0.66
     unsuccessfully
    -0.66
     Alam
    -0.64
    swick
    -0.63
     Allied
    -0.62
    edded
    -0.62
     Papua
    -0.61
    POSITIVE LOGITS
     kinda
    0.88
     ðŁij
    0.87
     gonna
    0.83
     bitch
    0.83
     âľĶ
    0.81
    ðŁ
    0.80
    !!!!
    0.79
     funny
    0.77
    !!!!!
    0.77
     fuckin
    0.77
    Activations Density 0.374%

    No Known Activations