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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. 9-RES-JB
    11. 15375
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    Explanations

    phrases indicating commitment or dedication to a particular cause or action

    oai_token-act-pair · gpt-3.5-turbo

    expressions of commitment or dedication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILA
    -0.81
    oshop
    -0.71
    gdala
    -0.71
    alogy
    -0.68
    adish
    -0.68
    erous
    -0.67
    AGE
    -0.67
    umbn
    -0.67
     Generator
    -0.66
     waivers
    -0.65
    POSITIVE LOGITS
     enough
    0.92
    onite
    0.77
    expr
    0.77
     nonetheless
    0.76
     passionately
    0.75
    ados
    0.72
    edly
    0.71
    bodied
    0.70
     pursuit
    0.68
     lifelong
    0.67
    Activations Density 0.081%

    No Known Activations