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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. 4194
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    INDEX
    Explanations

    spots or locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "spot" and its variations

    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
    issance
    -0.84
    yss
    -0.79
    anwhile
    -0.73
    ongyang
    -0.72
    ¥ŀ
    -0.72
    jri
    -0.69
    perty
    -0.67
    wake
    -0.66
     adolesc
    -0.64
    idth
    -0.64
    POSITIVE LOGITS
    lights
    1.42
    ter
    0.98
    ting
    0.95
    eele
    0.94
    light
    0.87
    lighting
    0.86
    bos
    0.85
    ters
    0.81
    ify
    0.80
    ty
    0.79
    Activations Density 0.016%

    No Known Activations