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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 2267
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    INDEX
    Explanations

    mentions of the word "positivity" or words related to a positive outlook

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "pos" and related variations, indicating a focus on positioning or status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    loo
    -0.90
    HAEL
    -0.76
     Hearts
    -0.70
    clad
    -0.68
     Clarkson
    -0.67
    stall
    -0.66
     oats
    -0.66
    ARD
    -0.64
    OPS
    -0.64
     Continental
    -0.63
    POSITIVE LOGITS
    itional
    1.30
    itions
    1.27
    idon
    1.17
    itory
    1.14
    itivity
    1.10
    itor
    1.09
    itives
    1.07
    pos
    1.04
    itionally
    1.01
    sel
    0.98
    Activations Density 0.021%

    No Known Activations