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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. 4-RES-JB
    11. 3987
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    INDEX
    Explanations

    phrases where something is being taken seriously

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating the importance of being taken seriously

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

    No Comments

    Negative Logits
    tein
    -0.70
     Tycoon
    -0.66
    ry
    -0.63
    rones
    -0.63
     arrivals
    -0.62
    ifully
    -0.62
    aleb
    -0.60
    Recipe
    -0.59
    ilateral
    -0.59
    ramid
    -0.59
    POSITIVE LOGITS
    igious
    0.86
     seriously
    0.84
     enough
    0.84
    serious
    0.79
    isSpecialOrderable
    0.75
    sted
    0.74
     dent
    0.72
    tics
    0.71
    ATIONAL
    0.70
     entertained
    0.68
    Activations Density 0.006%

    No Known Activations