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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. 23631
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    INDEX
    Explanations

    reasons or justifications for actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    reasons or justifications for actions or decisions

    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
    mins
    -0.82
    stairs
    -0.68
    erers
    -0.68
    ignore
    -0.67
    ributed
    -0.67
    Ver
    -0.66
    forms
    -0.66
    ework
    -0.66
    bage
    -0.65
    start
    -0.64
    POSITIVE LOGITS
     perceived
    1.00
     necessity
    0.98
     convenience
    0.97
     satisfaction
    0.91
     fear
    0.91
     comfort
    0.91
     gratification
    0.90
     desire
    0.89
     thrill
    0.88
     prestige
    0.86
    Activations Density 0.497%

    No Known Activations