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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. 16223
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    Explanations

    specific mentions of the word "users" and the numbers assigned to them

    oai_token-act-pair · gpt-3.5-turbo

    references to users 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
    western
    -0.67
    SourceFile
    -0.67
    FLAG
    -0.65
    Reloaded
    -0.65
     Baptist
    -0.65
     Wolver
    -0.64
     Shore
    -0.64
    ?????-
    -0.63
     Hurricanes
    -0.62
    amer
    -0.62
    POSITIVE LOGITS
    hip
    1.11
    pace
    1.10
    cript
    0.95
    paces
    0.92
    ettings
    0.84
     interfaces
    0.82
     interface
    0.81
    itaire
    0.77
    erv
    0.76
    hare
    0.75
    Activations Density 0.026%

    No Known Activations