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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. 7439
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    Explanations

    people counting or numbers related to counts in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical counts or tallies

    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
     Harbor
    -0.69
    ovie
    -0.62
    ARP
    -0.60
     Directorate
    -0.60
     Eden
    -0.59
    perty
    -0.59
    agall
    -0.59
     inflamm
    -0.59
     Loft
    -0.59
    OPLE
    -0.57
    POSITIVE LOGITS
    enance
    1.73
    downs
    1.27
    ess
    1.04
    esses
    1.03
    down
    0.99
    DOWN
    0.91
    ere
    0.89
    ries
    0.88
    sheets
    0.86
    ener
    0.86
    Activations Density 0.031%

    No Known Activations