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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. 10-RES-JB
    6. 504
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    INDEX
    Explanations

    personal opinions and expressions of conviction

    oai_token-act-pair · gpt-3.5-turbo

    conversational phrases and expressions of awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alach
    -0.48
     Referred
    -0.48
    arching
    -0.45
     ascend
    -0.45
     autopsy
    -0.44
     appeal
    -0.44
     descent
    -0.44
     Deng
    -0.44
    riors
    -0.44
     focus
    -0.44
    POSITIVE LOGITS
     dunno
    0.76
    laughs
    0.73
    advertising
    0.69
    OOOO
    0.64
    know
    0.62
     goodness
    0.61
    GGGG
    0.60
    nown
    0.58
     fuckin
    0.57
    iii
    0.55
    Activations Density 0.235%

    No Known Activations