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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. 9-RES-JB
    11. 17684
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    Explanations

    terms related to technical subjects or processes

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and entities related to various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TextColor
    -0.59
     Neville
    -0.50
    姫
    -0.47
     Poles
    -0.47
     Hamas
    -0.47
     resemb
    -0.47
     Hoover
    -0.46
    ccording
    -0.46
    OHN
    -0.45
     Adolf
    -0.44
    POSITIVE LOGITS
    .}
    0.75
    .''
    0.73
    $.
    0.72
    .�
    0.71
    ]."
    0.71
    +.
    0.68
    .).
    0.68
    }.
    0.64
    %.
    0.64
    .</
    0.62
    Activations Density 1.898%

    No Known Activations