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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. 0-RES-JB
    11. 15687
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    Explanations

    words related to a certain level or degree of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating a degree of uncertainty or moderation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    each
    -0.65
     (@
    -0.65
    nor
    -0.63
    onds
    -0.62
    submit
    -0.60
    mob
    -0.60
    hire
    -0.59
     âĸº
    -0.59
    ibur
    -0.59
    endar
    -0.59
    POSITIVE LOGITS
     somewhat
    2.96
     slightly
    2.11
     considerably
    1.82
     fairly
    1.73
     mildly
    1.70
     marginally
    1.63
     moderately
    1.59
     relatively
    1.55
     vaguely
    1.52
     decidedly
    1.47
    Activations Density 0.009%

    No Known Activations