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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. 10-RES-JB
    11. 8086
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    Explanations

    technical terms related to engineering, construction, or risk assessment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to simulation and structural analysis in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppa
    -0.99
     Canaver
    -0.91
    DragonMagazine
    -0.88
    ©¶æ¥µ
    -0.87
    Legend
    -0.87
    anamo
    -0.86
    inho
    -0.85
    Kids
    -0.84
    thank
    -0.83
     Calais
    -0.83
    POSITIVE LOGITS
     substantive
    1.28
     methodological
    1.27
     causal
    1.26
     qualitative
    1.25
     normative
    1.23
     procedural
    1.22
     adverse
    1.22
     empirical
    1.21
     systemic
    1.21
     systematic
    1.21
    Activations Density 0.536%

    No Known Activations