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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. 7-RES-JB
    11. 11100
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    INDEX
    Explanations

    words expressing reasoning or explanation

    oai_token-act-pair · gpt-3.5-turbo

    references to subjective opinions or claims regarding experiences and perceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itches
    -0.69
    rero
    -0.67
    eca
    -0.67
    dit
    -0.66
    igs
    -0.65
    atories
    -0.65
    icka
    -0.64
     Ily
    -0.62
    kson
    -0.61
    istics
    -0.61
    POSITIVE LOGITS
     borne
    0.90
     reflected
    0.86
     culminated
    0.78
     prone
    0.77
     consequently
    0.75
     compounded
    0.74
     liable
    0.74
     exacerbated
    0.73
     flanked
    0.73
     attributable
    0.72
    Activations Density 0.181%

    No Known Activations