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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. 23348
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    INDEX
    Explanations

    data points or quantities expressed in numerical terms

    oai_token-act-pair · gpt-3.5-turbo

    economic statistics and comparisons

    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
    malink
    -0.68
    gg
    -0.63
     comrade
    -0.60
    rive
    -0.56
     novice
    -0.55
    ritz
    -0.55
    Ħ¢
    -0.54
     anyways
    -0.54
    iquette
    -0.53
     others
    -0.53
    POSITIVE LOGITS
     560
    0.90
     roughly
    0.88
    approximately
    0.88
     âĪ¼
    0.83
     approximately
    0.83
     670
    0.82
     640
    0.82
     760
    0.82
     equivalent
    0.81
    rough
    0.81
    Activations Density 0.150%

    No Known Activations