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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. 1-RES-JB
    11. 10367
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    Explanations

    phrases related to attraction or drawing interest

    oai_token-act-pair · gpt-3.5-turbo

    the word "attracted" and its various uses in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hal
    -0.71
    dam
    -0.66
    minus
    -0.64
    ãĥ¯ãĥ³
    -0.63
    HE
    -0.61
    FT
    -0.60
    ocker
    -0.60
     bunker
    -0.60
    unker
    -0.60
    eden
    -0.59
    POSITIVE LOGITS
     attracted
    1.30
     attracts
    1.10
     attract
    0.96
    xual
    0.91
    dinand
    0.88
     aroused
    0.86
     attracting
    0.86
    GGGGGGGG
    0.83
    entious
    0.82
    ĸļ
    0.80
    Activations Density 0.009%

    No Known Activations