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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. 20455
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    Explanations

    technical or specialized terms and concepts related to implications or complications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to implications and processes in discussions or narratives

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.77
    busters
    -0.72
    ¥µ
    -0.65
     Hath
    -0.63
    chnology
    -0.63
    haus
    -0.61
     Fenrir
    -0.61
    nces
    -0.60
    FACE
    -0.60
    taboola
    -0.59
    POSITIVE LOGITS
    anted
    0.99
    ications
    0.98
    olation
    0.93
    iple
    0.91
    apped
    0.90
    orporated
    0.85
    unc
    0.81
    osion
    0.80
    icit
    0.80
    olated
    0.78
    Activations Density 0.026%

    No Known Activations