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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. 2-RES-JB
    11. 16088
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    INDEX
    Explanations

    mentions of feasibility or practicality in a given context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    adjectives related to the feasibility of a certain action or project

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lings
    -0.86
    ling
    -0.76
    mson
    -0.72
    gate
    -0.72
     Furious
    -0.68
    gl
    -0.67
    lands
    -0.67
    brook
    -0.66
    gers
    -0.66
    lins
    -0.65
    POSITIVE LOGITS
     feas
    1.00
     feasible
    0.93
    EStream
    0.92
     achievable
    0.88
    ossibility
    0.83
     nomine
    0.83
     practicable
    0.82
    nown
    0.82
    OPLE
    0.82
     feasibility
    0.78
    Activations Density 0.029%

    No Known Activations