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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. 9-RES-JB
    11. 17336
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    Explanations

    the words "At" followed by a number in the document

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific location or venue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.67
     actionGroup
    -0.59
    aceutical
    -0.58
    GROUP
    -0.58
     forgiven
    -0.57
    è»
    -0.56
    reviewed
    -0.55
     bloss
    -0.55
     freely
    -0.54
     excise
    -0.54
    POSITIVE LOGITS
    rium
    1.29
    las
    1.17
    mosp
    1.12
    roc
    1.09
     least
    1.08
    ributes
    1.07
    rament
    1.07
    rial
    1.06
    letico
    1.05
    omics
    1.05
    Activations Density 0.058%

    No Known Activations