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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. 18885
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    Explanations

    proper nouns, specifically names

    oai_token-act-pair · gpt-3.5-turbo

    the letter 'j'

    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
     Lauder
    -0.72
     bleach
    -0.70
     Samoa
    -0.66
     dispers
    -0.65
     Ferr
    -0.65
     MacArthur
    -0.63
     Huntington
    -0.63
    BALL
    -0.62
     Scotia
    -0.62
     Soccer
    -0.61
    POSITIVE LOGITS
    ournals
    1.41
    acket
    1.25
    unction
    1.24
    ealous
    1.20
    itsu
    1.17
    unal
    1.16
    utsu
    1.16
    oint
    1.13
    ordan
    1.11
    ourn
    1.09
    Activations Density 0.033%

    No Known Activations