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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. 2-RES-JB
    11. 8376
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    Explanations

    references to the word "Chopper"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cho" and related names, especially within contexts that imply a recurring theme or subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAEL
    -0.91
    DEF
    -0.80
    PORT
    -0.78
    IRO
    -0.78
    HCR
    -0.76
    Phill
    -0.75
    DERR
    -0.73
    ALD
    -0.73
    ADE
    -0.72
     Interpret
    -0.71
    POSITIVE LOGITS
     cho
    1.04
    ppy
    0.89
    ptic
    0.88
    bably
    0.80
    ¸
    0.80
    pper
    0.80
    ffield
    0.77
    chy
    0.75
    ewater
    0.74
    bled
    0.74
    Activations Density 0.016%

    No Known Activations