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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. 2633
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    Explanations

    phrases related to being involved in various activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "involved" in various contexts

    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
    fer
    -0.74
    ipe
    -0.72
    Rush
    -0.68
     Scor
    -0.68
     Gaw
    -0.67
     Gat
    -0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.67
    Jet
    -0.67
     skies
    -0.65
    TI
    -0.63
    POSITIVE LOGITS
     involved
    1.19
    olved
    0.90
    involved
    0.86
    ricular
    0.82
     implicated
    0.81
    itaire
    0.80
     embroiled
    0.79
     involving
    0.78
    ioned
    0.77
    ertodd
    0.76
    Activations Density 0.016%

    No Known Activations