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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. 2-RES-JB
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    Explanations

    the word "all."

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize inclusivity and universality across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lav
    -0.67
    aminer
    -0.66
    IDS
    -0.63
    nom
    -0.62
    SHIP
    -0.61
    fman
    -0.60
     Kamp
    -0.59
    EStream
    -0.59
    grad
    -0.58
    oute
    -0.58
    POSITIVE LOGITS
    ocating
    1.25
    igator
    1.08
    igators
    1.02
    ocated
    1.01
     sorts
    0.99
     kinds
    0.97
    ocate
    0.95
    owing
    0.93
    ocation
    0.93
    iances
    0.93
    Activations Density 0.166%

    No Known Activations