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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. 799
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    Explanations

    the word "Bet" with varying degrees of strength

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Bet" and its variants

    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
    ĸļ
    -0.95
    anwhile
    -0.82
    VILLE
    -0.77
     obser
    -0.74
     eclipse
    -0.71
    nesota
    -0.70
    ãģķ
    -0.69
    OPLE
    -0.68
    taboola
    -0.68
    士
    -0.66
    POSITIVE LOGITS
    ting
    1.26
    hesda
    1.15
    tery
    1.02
    rol
    1.01
    ray
    0.98
    lehem
    0.97
    wana
    0.93
    ters
    0.93
    rom
    0.90
    terness
    0.90
    Activations Density 0.007%

    No Known Activations