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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. 22743
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    Explanations

    terms related to potential occurrences or situations that may require specific actions or preparations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or occurrences

    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
     Flavoring
    -0.78
    zie
    -0.76
    Rated
    -0.68
     Views
    -0.65
    MET
    -0.63
    pees
    -0.61
     Wow
    -0.59
     Moves
    -0.59
     Bleach
    -0.58
     Ammunition
    -0.57
    POSITIVE LOGITS
    ual
    0.74
    uner
    0.71
    ually
    0.69
    igation
    0.68
    uate
    0.67
    amination
    0.67
     unsatisf
    0.66
    uating
    0.65
    uates
    0.63
     circumstances
    0.63
    Activations Density 0.023%

    No Known Activations