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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. 3-RES-JB
    11. 5548
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    Explanations

    food-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "goose" and "pigeon" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ications
    -0.90
    ributed
    -0.81
    ista
    -0.81
    ayan
    -0.80
    ention
    -0.78
    endment
    -0.76
    iation
    -0.72
    acco
    -0.72
    pite
    -0.68
    avid
    -0.68
    POSITIVE LOGITS
    bum
    1.09
     Goose
    0.98
     goose
    0.94
    berry
    0.85
    berries
    0.82
    worthy
    0.81
    watching
    0.75
    hog
    0.73
    peak
    0.73
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.72
    Activations Density 0.015%

    No Known Activations