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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. 14211
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    Explanations

    keywords related to television programming, such as "broadcasts," "channels," and specific program titles

    oai_token-act-pair · gpt-3.5-turbo

    references to television programming or content

    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
    vol
    -0.88
    ously
    -0.72
    ous
    -0.71
    ault
    -0.71
    auld
    -0.71
    icus
    -0.69
    ildo
    -0.64
    imble
    -0.64
     Hum
    -0.64
    iful
    -0.64
    POSITIVE LOGITS
    matically
    0.86
    isphere
    0.85
    mable
    0.84
    ¥µ
    0.81
    matic
    0.79
    IUM
    0.77
    CAST
    0.75
     feeds
    0.72
     programmes
    0.71
    caster
    0.71
    Activations Density 0.013%

    No Known Activations