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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. 6-RES-JB
    11. 17168
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    INDEX
    Explanations

    connections or relationships between different factors or variables

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing statistical relationships and correlations between different variables

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.85
    scrib
    -0.73
     Saud
    -0.72
     Vaugh
    -0.71
    ircraft
    -0.71
    fal
    -0.69
    Tok
    -0.68
    ofi
    -0.67
    Aud
    -0.66
    aniel
    -0.64
    POSITIVE LOGITS
     negatively
    0.97
     outcomes
    0.95
     susceptibility
    0.91
     influencing
    0.87
     determining
    0.86
     factors
    0.84
     causation
    0.83
     measurable
    0.83
     shaping
    0.83
     variability
    0.80
    Activations Density 0.208%

    No Known Activations