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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. 3-RES-JB
    11. 8181
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    Explanations

    terms related to technology, specifically file formats and software functionalities

    oai_token-act-pair · gpt-3.5-turbo

    references to file formats or specifications, particularly in technology and media contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ¤ãĥĪ
    -0.77
    gie
    -0.74
    女
    -0.73
    ãĥģ
    -0.71
     à¨
    -0.69
    ãĤ·ãĥ£
    -0.69
    taboola
    -0.68
     EntityItem
    -0.67
    glers
    -0.67
    atorial
    -0.67
    POSITIVE LOGITS
    senal
    0.99
    rint
    0.95
    RP
    0.91
    ublic
    0.90
    olicy
    0.84
    acing
    0.81
    lease
    0.81
    retty
    0.76
    BG
    0.76
    ACE
    0.76
    Activations Density 0.006%

    No Known Activations