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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. 4-RES-JB
    11. 571
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    Explanations

    numerical values represented as two-digit pairs

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with specific categories or events

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

    No Comments

    Negative Logits
    ingham
    -0.86
    iday
    -0.80
    ishing
    -0.76
    igating
    -0.75
    igators
    -0.75
    iped
    -0.74
    ary
    -0.73
    ential
    -0.72
    ition
    -0.71
    aries
    -0.68
    POSITIVE LOGITS
    teenth
    0.86
    393
    0.82
    ptive
    0.81
    UTH
    0.77
    cffff
    0.76
     satell
    0.74
    LECT
    0.73
    00
    0.73
    stasy
    0.72
    ongyang
    0.71
    Activations Density 0.065%

    No Known Activations