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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. 11-RES-JB
    11. 7577
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    INDEX
    Explanations

    phrases indicating desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pite
    -0.80
     muster
    -0.74
    rir
    -0.69
    recomm
    -0.67
     yielding
    -0.63
    render
    -0.62
     permitting
    -0.62
     Cosponsors
    -0.62
    ously
    -0.61
     attempting
    -0.61
    POSITIVE LOGITS
     someday
    0.93
     ASAP
    0.82
     louder
    0.78
    cool
    0.68
     sooner
    0.68
     revenge
    0.67
    reprene
    0.66
     daddy
    0.65
     rid
    0.65
     bigger
    0.65
    Activations Density 0.322%

    No Known Activations