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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. 13803
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    Explanations

    keywords related to software or technical problems

    oai_token-act-pair · gpt-3.5-turbo

    references to problems or concerns in a given context

    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
    tsky
    -1.00
    emouth
    -0.96
    theless
    -0.85
    glas
    -0.83
    asts
    -0.78
    cki
    -0.78
    incoln
    -0.76
    amation
    -0.75
    gling
    -0.74
    urses
    -0.74
    POSITIVE LOGITS
     plag
    1.02
     tracker
    0.86
     unresolved
    0.74
     resolved
    0.72
     affecting
    0.72
     flared
    0.69
     arise
    0.67
    naires
    0.66
     facing
    0.66
     stemming
    0.66
    Activations Density 0.038%

    No Known Activations