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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. 7268
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    Explanations

    keywords related to logical reasoning or evidence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to logical reasoning

    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
    lain
    -0.82
    emi
    -0.70
    andals
    -0.68
     financed
    -0.67
    rained
    -0.66
    adal
    -0.66
     toured
    -0.65
    orters
    -0.65
    sung
    -0.62
    lished
    -0.61
    POSITIVE LOGITS
     posit
    1.02
     necessity
    0.93
    istically
    0.92
     progression
    0.90
     inference
    0.89
     fallacy
    0.87
    istic
    0.86
    \\\\\\\\
    0.83
    ynes
    0.82
     impossibility
    0.80
    Activations Density 0.023%

    No Known Activations