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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. 6-RES-JB
    11. 15348
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    Explanations

    references to news articles and reports

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events, data points, or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.63
    ãĤ¨ãĥ«
    -0.60
    ãĥĦ
    -0.59
    imester
    -0.56
    ãĥķãĤ©
    -0.56
    displayText
    -0.53
    KN
    -0.52
    ãĥ¯
    -0.52
    ieu
    -0.51
    ãĤ´
    -0.51
    POSITIVE LOGITS
    )."
    0.84
    ).[
    0.72
     nearby
    0.71
    .'"
    0.68
    '."
    0.67
     etc
    0.67
    ]."
    0.66
     overhead
    0.65
    .")
    0.64
    )).
    0.63
    Activations Density 1.860%

    No Known Activations