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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. 1-RES-JB
    11. 16211
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    Explanations

    verbs related to physical exertion or effort

    oai_token-act-pair · gpt-3.5-turbo

    verbs and adjectives in various forms related to emotional and physical states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scope
    -0.70
     Prosecut
    -0.70
     Contin
    -0.66
     Trace
    -0.64
    Mit
    -0.64
     reproduced
    -0.63
     iT
    -0.62
     Acad
    -0.62
     MAT
    -0.62
     Timeline
    -0.61
    POSITIVE LOGITS
    ptin
    1.06
    eling
    0.99
    zeb
    0.93
    hetti
    0.88
    loo
    0.86
    oaded
    0.81
    own
    0.81
    gypt
    0.80
    lass
    0.80
    jriwal
    0.79
    Activations Density 0.004%

    No Known Activations