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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. 10-RES-JB
    11. 952
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    Explanations

    proper nouns related to locations like cities and universities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Mon" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Norn
    -0.85
    FUL
    -0.76
     plural
    -0.67
    REE
    -0.65
    lessly
    -0.64
    ACTED
    -0.62
    LES
    -0.59
    RANT
    -0.59
    IRD
    -0.57
    ANI
    -0.55
    POSITIVE LOGITS
    itored
    1.37
    astery
    1.29
    olithic
    1.29
    olith
    1.25
    ique
    1.20
    stros
    1.19
    opoly
    1.19
    ologue
    1.17
    oton
    1.16
    oxide
    1.14
    Activations Density 0.015%

    No Known Activations