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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. 22472
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    Explanations

    phrases indicating a high level of intensity or activity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "full" 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
    antine
    -0.74
    ades
    -0.72
    atell
    -0.72
    wic
    -0.70
    aceae
    -0.68
    apter
    -0.67
    liest
    -0.67
     Tycoon
    -0.65
     Guys
    -0.65
    mini
    -0.64
    POSITIVE LOGITS
     throttle
    1.03
    erton
    0.94
     blown
    0.90
     bloom
    0.85
    fledged
    0.84
     disclosure
    0.84
     fled
    0.83
    swing
    0.82
    screen
    0.82
     frontal
    0.82
    Activations Density 0.026%

    No Known Activations