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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 10066
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    Explanations

    phrases related to the number of stories in buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to the number of stories in buildings

    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
    ibaba
    -0.86
    aez
    -0.80
    icion
    -0.68
    ktop
    -0.68
    ugal
    -0.67
    istered
    -0.67
    ocol
    -0.67
    opard
    -0.67
    gotten
    -0.66
    argon
    -0.65
    POSITIVE LOGITS
    tall
    0.85
    boards
    0.81
     tall
    0.79
     arc
    0.79
     tallest
    0.78
     buildings
    0.78
     ceilings
    0.73
    board
    0.72
    Fair
    0.69
     Corinth
    0.69
    Activations Density 0.020%

    No Known Activations