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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. 21426
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    Explanations

    scientific or technical terms related to specific fields of study

    oai_token-act-pair · gpt-3.5-turbo

    nouns and verbs related to processes, actions, and classifications

    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
    sw
    -0.72
    gro
    -0.65
    اÙĦ
    -0.64
    Arg
    -0.63
    Otherwise
    -0.63
    SHIP
    -0.62
    aly
    -0.61
    ÑĢ
    -0.61
    Attempt
    -0.60
    ÙĬ
    -0.60
    POSITIVE LOGITS
    omething
    1.14
    ometimes
    1.11
    pace
    1.09
     are
    1.04
     abound
    1.04
    creen
    1.01
    heet
    0.99
    hift
    0.98
    uggest
    0.98
    paces
    0.97
    Activations Density 0.224%

    No Known Activations