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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. 23430
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    Explanations

    mentions of "board"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "board" 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
    ENC
    -0.70
    Xi
    -0.65
    pert
    -0.65
    burg
    -0.65
    INO
    -0.64
    ankind
    -0.61
     VAT
    -0.61
     Nau
    -0.60
     relat
    -0.60
    ENS
    -0.59
    POSITIVE LOGITS
    board
    1.26
    boarding
    0.96
    boards
    0.90
    chair
    0.86
    walk
    0.84
    lists
    0.82
    chairs
    0.82
     layouts
    0.82
    wright
    0.82
    deck
    0.82
    Activations Density 0.011%

    No Known Activations