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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. 5103
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    INDEX
    Explanations

    diverse entities or items like organizations, electronic devices, prizes, healthcare services, occupations, financial concepts, technologies, natural phenomena, and food items

    oai_token-act-pair · gpt-3.5-turbo

    terms related to organizations, professions, and various sectors impacting society

    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
    ãĤ¨ãĥ«
    -0.68
    ãĥ´
    -0.64
     Pengu
    -0.64
    ãĥį
    -0.60
     Klu
    -0.56
     Defin
    -0.55
    Series
    -0.53
     acknow
    -0.53
    Ö¼
    -0.53
     Lent
    -0.53
    POSITIVE LOGITS
     etc
    1.37
    etc
    0.88
    ,...
    0.82
    ,
    0.79
     ect
    0.77
    +,
    0.74
    *,
    0.67
     and
    0.64
    ...)
    0.64
    cler
    0.63
    Activations Density 0.293%

    No Known Activations