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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. 3221
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    INDEX
    Explanations

    mentions of specific locations or points of interest

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "spot."

    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
    issance
    -0.91
    yss
    -0.71
    perty
    -0.66
     pend
    -0.65
    wake
    -0.64
     Strait
    -0.63
    anwhile
    -0.62
    jri
    -0.62
     godd
    -0.61
    velt
    -0.61
    POSITIVE LOGITS
    lights
    1.49
    ter
    1.05
    light
    1.01
    ters
    0.98
    lighting
    0.98
    ting
    0.97
    ty
    0.94
    pots
    0.89
    tery
    0.87
    kick
    0.85
    Activations Density 0.033%

    No Known Activations