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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. 2766
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    INDEX
    Explanations

    expressions indicating a statement is based on a specific context or given conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditional situations and related implications

    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
    clud
    -0.81
    Female
    -0.75
    hent
    -0.73
    Fill
    -0.73
    YING
    -0.72
    iband
    -0.72
    oking
    -0.72
    eware
    -0.69
    asuring
    -0.69
    jer
    -0.69
    POSITIVE LOGITS
     circumstances
    1.28
     propensity
    1.11
     nature
    1.04
     recent
    1.04
     history
    1.04
     penchant
    1.01
     context
    1.01
     popularity
    1.01
     seriousness
    1.00
     stakes
    0.98
    Activations Density 0.146%

    No Known Activations