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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. 16501
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    Explanations

    numbers related to specific events or entities

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with events, anniversaries, or milestones

    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
    theless
    -0.81
    ebin
    -0.65
    anamo
    -0.63
    imaru
    -0.62
     condem
    -0.62
    govtrack
    -0.61
    inventoryQuantity
    -0.59
    vana
    -0.59
    izon
    -0.55
     targ
    -0.54
    POSITIVE LOGITS
    th
    1.40
    rd
    1.08
    teenth
    1.07
    nd
    0.99
    ieth
    0.94
    venth
    0.91
    -
    0.89
     largest
    0.82
     Greatest
    0.81
    some
    0.80
    Activations Density 0.140%

    No Known Activations