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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. 2970
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    Explanations

    dates in a format like "September 29"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific titles or names associated with the film industry

    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
     brim
    -0.82
     whisk
    -0.66
     substit
    -0.66
     acre
    -0.61
     offic
    -0.59
    caps
    -0.59
     eye
    -0.59
    Brow
    -0.58
     econom
    -0.58
    grain
    -0.58
    POSITIVE LOGITS
    lished
    0.90
    acus
    0.82
    uish
    0.81
    vation
    0.78
    ences
    0.77
    itent
    0.76
    eteria
    0.75
    ipation
    0.75
    ensable
    0.74
    .?
    0.74
    Activations Density 0.072%

    No Known Activations