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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. 13712
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with ratios, methodologies, and comparisons

    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
     slightest
    -0.64
     Gleaming
    -0.61
    CVE
    -0.60
    igham
    -0.55
     harmless
    -0.54
     unlaw
    -0.54
    ãģį
    -0.54
     vast
    -0.54
     ³³
    -0.54
    icio
    -0.54
    POSITIVE LOGITS
     than
    1.99
    than
    1.96
     Than
    1.35
     altogether
    0.89
     wiser
    0.75
     compared
    0.74
     prevailed
    0.74
     overall
    0.73
    iating
    0.72
     nearer
    0.71
    Activations Density 0.326%

    No Known Activations