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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. 20140
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    INDEX
    Explanations

    phrases expressing uncertainty or hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinions or speculation about people or things

    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
     expectation
    -0.65
    ounter
    -0.61
     expectations
    -0.58
     limitation
    -0.56
     Speedway
    -0.56
    forth
    -0.55
     responsibility
    -0.55
    oration
    -0.54
     breeze
    -0.54
     progressing
    -0.53
    POSITIVE LOGITS
    ve
    0.77
    bane
    0.74
    areth
    0.71
    mite
    0.68
    ahs
    0.67
    hire
    0.65
     sidx
    0.64
     sow
    0.63
    iple
    0.63
    shit
    0.60
    Activations Density 0.179%

    No Known Activations