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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. 1961
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    Explanations

    phrases related to a specific style or approach

    oai_token-act-pair · gpt-3.5-turbo

    references to different styles 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
    riel
    -0.85
    minster
    -0.76
     Kling
    -0.71
    ajor
    -0.71
    lymp
    -0.71
    tainment
    -0.69
     Sons
    -0.68
    leased
    -0.68
    abama
    -0.68
    iminary
    -0.67
    POSITIVE LOGITS
    heet
    0.97
     sheet
    0.79
    ologies
    0.79
     sheets
    0.77
    edo
    0.71
    styles
    0.71
     consistency
    0.68
    andi
    0.67
     deviation
    0.67
     style
    0.66
    Activations Density 0.019%

    No Known Activations