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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. 9-RES-JB
    6. 852
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    INDEX
    Explanations

    phrases related to social and political actions or statements

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases or expressions highlighting quantifiers and negations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Redditor
    -0.79
     Also
    -0.76
     Alternatively
    -0.70
    MAN
    -0.67
     Additionally
    -0.66
    also
    -0.66
     additionally
    -0.65
     Nare
    -0.64
    Also
    -0.63
    rm
    -0.63
    POSITIVE LOGITS
    whatever
    0.93
    etc
    0.86
     EntityItem
    0.75
     clot
    0.68
     etc
    0.66
    cknow
    0.66
     decency
    0.65
     blah
    0.62
     sensit
    0.62
    dq
    0.61
    Activations Density 0.260%

    No Known Activations