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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. 8-RES-JB
    11. 24491
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    INDEX
    Explanations

    words related to speed, progression, and potential change

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating urgency and rapidity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.73
    dar
    -0.69
    ichick
    -0.68
    irgin
    -0.65
    clair
    -0.65
    APD
    -0.65
    irin
    -0.65
    cci
    -0.64
    ivalry
    -0.63
    oad
    -0.62
    POSITIVE LOGITS
     predictable
    0.73
     blink
    0.73
     unforeseen
    0.72
     seams
    0.72
     sudden
    0.67
     magnitude
    0.67
     leaps
    0.66
     landsl
    0.66
     precip
    0.66
     dime
    0.65
    Activations Density 0.640%

    No Known Activations