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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. 24205
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    INDEX
    Explanations

    numbers indicating a level or value of performance or achievement

    oai_token-act-pair · gpt-3.5-turbo

    references to scores and ratings in various contexts

    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
    xon
    -0.75
    ĸļ
    -0.70
     Parenthood
    -0.65
    pora
    -0.64
    LECT
    -0.61
     flirt
    -0.61
     detachment
    -0.61
     perspect
    -0.58
    lly
    -0.57
    agan
    -0.56
    POSITIVE LOGITS
    card
    1.27
    cards
    1.20
    ific
    1.01
    keeper
    0.93
    keepers
    0.90
     scores
    0.86
    aments
    0.85
    emi
    0.84
    ifications
    0.84
    ient
    0.82
    Activations Density 0.020%

    No Known Activations