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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. 7-RES-JB
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    words related to cognition and mental processing

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to cognition and recognition processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bury
    -0.69
    HER
    -0.68
    boxes
    -0.67
    mini
    -0.63
    nesday
    -0.63
    innie
    -0.62
    501
    -0.62
    bed
    -0.62
    RESULTS
    -0.61
    hours
    -0.60
    POSITIVE LOGITS
    isance
    1.10
    ition
    1.09
    icious
    1.00
    istic
    0.97
    tesy
    0.96
    itives
    0.91
    omore
    0.91
    ances
    0.90
    ovember
    0.89
    isable
    0.87
    Activations Density 0.041%

    No Known Activations