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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. 7-RES-JB
    11. 19476
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    INDEX
    Explanations

    descriptions of physical positions or locations

    oai_token-act-pair · gpt-3.5-turbo

    experiences of vulnerability or danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ricular
    -0.68
    icular
    -0.68
    inelli
    -0.65
    ML
    -0.65
    FP
    -0.64
     Equal
    -0.64
    姫
    -0.64
     GABA
    -0.64
     Mahjong
    -0.63
     STA
    -0.62
    POSITIVE LOGITS
     untreated
    1.00
     awaiting
    0.95
     obscurity
    0.93
     limbo
    0.87
     untouched
    0.87
     ashes
    0.85
     lifeless
    0.84
     alone
    0.82
     unpop
    0.82
     unfinished
    0.82
    Activations Density 0.734%

    No Known Activations