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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. 4-RES-JB
    11. 24530
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    Explanations

    mentions of various parts of a plant, especially leaves

    oai_token-act-pair · gpt-3.5-turbo

    references to leaves, particularly in various contexts or descriptions

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

    No Comments

    Negative Logits
    alty
    -0.72
    PDATE
    -0.69
    FACE
    -0.66
    merce
    -0.66
    $$$$
    -0.64
    acity
    -0.64
    FINE
    -0.63
    QUIRE
    -0.63
    nces
    -0.62
    AUD
    -0.62
    POSITIVE LOGITS
    let
    1.15
    lets
    1.09
     leaf
    1.06
    leaf
    1.01
     lettuce
    0.99
    leted
    0.94
    worm
    0.86
    stones
    0.83
    edIn
    0.82
    stone
    0.81
    Activations Density 0.008%

    No Known Activations