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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    the word "all"

    oai_token-act-pair · gpt-3.5-turbo

    the word "all" in various contexts

    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
    aminer
    -0.68
     Kamp
    -0.68
    ker
    -0.64
    SHIP
    -0.61
    lav
    -0.61
    grad
    -0.61
    licts
    -0.61
    nom
    -0.61
    ufact
    -0.60
    lict
    -0.60
    POSITIVE LOGITS
    ocating
    1.11
    igator
    1.08
    udes
    1.08
    igators
    1.07
     kinds
    1.03
    uding
    1.00
    usions
    1.00
     sorts
    0.95
    iances
    0.91
    usion
    0.89
    Activations Density 0.158%

    No Known Activations