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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. 8-RES-JB
    11. 22347
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    Explanations

    phrases indicating a large quantity or group of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating large quantities or counts of entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     majesty
    -0.71
     Brief
    -0.70
     Dull
    -0.61
     nearest
    -0.61
    icut
    -0.60
     Channel
    -0.60
    inelli
    -0.60
     lil
    -0.59
     Buster
    -0.58
     Puzz
    -0.58
    POSITIVE LOGITS
     (>
    1.05
     of
    0.88
    UID
    0.79
    bang
    0.76
     (~
    0.73
    custom
    0.71
     (<
    0.69
    aux
    0.66
    ourced
    0.65
    metry
    0.65
    Activations Density 0.126%

    No Known Activations