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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. 24185
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    Explanations

    mentions of the number of times someone has appeared in a particular context or situation

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of mentions of "appearances" in various contexts

    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
    rush
    -0.65
    yg
    -0.63
    remlin
    -0.61
    behavior
    -0.61
    kk
    -0.60
    rust
    -0.60
    geist
    -0.60
    imes
    -0.60
    react
    -0.60
    ryn
    -0.59
    POSITIVE LOGITS
     appearances
    0.74
    IONS
    0.70
     opener
    0.70
     consecut
    0.69
    é
    0.69
    çīĪ
    0.68
    ä
    0.67
    代
    0.67
     victories
    0.67
    Games
    0.67
    Activations Density 0.042%

    No Known Activations