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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 13563
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    Explanations

    numerical scores or results in sports contexts

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to scores and game outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lago
    -0.68
     Tiff
    -0.66
     Soy
    -0.62
     Tob
    -0.62
     0000
    -0.61
     thousands
    -0.60
     modelling
    -0.60
    asonic
    -0.59
     Trader
    -0.59
    é¾įå¥ij士
    -0.58
    POSITIVE LOGITS
    ½
    0.89
    QB
    0.81
    rd
    0.80
    peat
    0.80
    nd
    0.79
    iron
    0.79
     undefeated
    0.77
    HL
    0.72
     unanswered
    0.71
    played
    0.71
    Activations Density 0.151%

    No Known Activations