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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. 7166
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    Explanations

    phrases related to motivation, inspiration, and positive change

    oai_token-act-pair · gpt-3.5-turbo

    the presence of empty or unfilled segments in the text

    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
    umably
    -0.85
     Presumably
    -0.71
    arently
    -0.69
     presumably
    -0.68
    assium
    -0.66
    entially
    -0.64
    uphem
    -0.64
    uled
    -0.61
    Apparently
    -0.59
    renheit
    -0.58
    POSITIVE LOGITS
    cellence
    0.88
     excellence
    0.86
     inspires
    0.82
     strive
    0.82
     inspiring
    0.78
     passionate
    0.77
     strives
    0.76
     âĿ
    0.76
     Excellence
    0.75
     innov
    0.74
    Activations Density 1.139%

    No Known Activations