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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. 16363
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    Explanations

    frequency or occurrence of events happening on a daily basis

    oai_token-act-pair · gpt-3.5-turbo

    references to occurrences and frequencies, particularly related to days

    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
    emale
    -0.80
    emort
    -0.79
    negie
    -0.71
    iton
    -0.71
    igon
    -0.69
    ancies
    -0.69
    ately
    -0.67
    iov
    -0.66
    ois
    -0.66
    rax
    -0.65
    POSITIVE LOGITS
    dream
    1.42
    care
    1.10
    break
    0.79
    light
    0.79
    long
    0.78
    call
    0.77
    walker
    0.76
    TON
    0.75
    lights
    0.75
    trip
    0.75
    Activations Density 0.081%

    No Known Activations