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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
    11. 668
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    INDEX
    Explanations

    proper nouns and names, such as "Darling", "Dunn", "Dagger", and "Droid"

    oai_token-act-pair · gpt-3.5-turbo

    names or titles that start with the letter 'D'

    oai_token-act-pair · gpt-4-turbo

    proper nouns, specifically names and titles

    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
    sburgh
    -0.83
    ould
    -0.81
    opp
    -0.72
    atted
    -0.71
    apes
    -0.69
    eches
    -0.69
    ambo
    -0.68
    aeus
    -0.68
    ][/
    -0.67
    raltar
    -0.67
    POSITIVE LOGITS
    ministic
    0.82
    IVERS
    0.75
    gence
    0.71
    RECT
    0.69
     Prin
    0.68
    Pad
    0.68
     contrace
    0.68
    ynam
    0.68
    zag
    0.67
    hyde
    0.67
    Activations Density 0.069%

    No Known Activations