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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. 17780
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    Explanations

    phrases related to the concept of sequencing or succession

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to back-and-forth actions or relationships

    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
     Parenthood
    -0.66
    ulhu
    -0.64
     benefic
    -0.62
     PD
    -0.59
    »Ĵ
    -0.59
    pload
    -0.59
     Creator
    -0.58
     Phi
    -0.58
     locals
    -0.57
     mmol
    -0.57
    POSITIVE LOGITS
    arching
    1.11
    door
    1.11
    office
    1.08
    to
    1.03
    stab
    1.02
    story
    1.01
    end
    0.97
    up
    0.97
    pack
    0.96
    breaking
    0.95
    Activations Density 0.038%

    No Known Activations