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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. 1-RES-JB
    11. 624
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    INDEX
    Explanations

    words related to logical reasoning and sensible decision-making

    oai_token-act-pair · gpt-3.5-turbo

    words that express reasonableness or rationality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AUT
    -0.73
    tein
    -0.66
     Mehran
    -0.66
    bered
    -0.61
    GPU
    -0.61
    sold
    -0.60
    rations
    -0.60
    inate
    -0.60
     Rou
    -0.59
     studied
    -0.59
    POSITIVE LOGITS
     sensible
    1.14
    tarian
    1.01
    ibly
    0.94
     enough
    0.87
     princ
    0.87
     sane
    0.83
    enough
    0.83
    cipled
    0.83
    tarians
    0.81
     intellig
    0.80
    Activations Density 0.004%

    No Known Activations