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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. 11-RES-JB
    11. 11615
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    INDEX
    Explanations

    mentions of requirements, necessitating actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to requirements or necessities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.88
    nown
    -0.81
    lez
    -0.75
    elt
    -0.74
    ghazi
    -0.74
    rift
    -0.73
    nect
    -0.72
    SHIP
    -0.72
    estate
    -0.71
    ãĤ¹
    -0.70
    POSITIVE LOGITS
     careful
    1.03
     considerable
    0.99
     extensive
    0.98
     periodic
    0.96
     unanim
    0.94
     constant
    0.92
     patience
    0.91
     approval
    0.90
     superhuman
    0.89
     meticulous
    0.88
    Activations Density 0.078%

    No Known Activations