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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. 11-RES-JB
    11. 24133
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    Explanations

    numerical ranges or quantities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical values or quantities, particularly related to percentages or monetary amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    èĥ
    -0.71
    ï¸
    -0.68
    stead
    -0.63
    emouth
    -0.61
    ipeg
    -0.61
    使
    -0.60
     moderation
    -0.58
    bos
    -0.58
    BuyableInstoreAndOnline
    -0.58
     illusions
    -0.58
    POSITIVE LOGITS
     12
    1.08
     15
    1.04
     13
    1.03
     14
    1.02
    12
    1.02
    15
    1.01
    14
    0.98
    13
    0.97
     16
    0.94
    16
    0.90
    Activations Density 0.074%

    No Known Activations