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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. 6-RES-JB
    11. 613
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    INDEX
    Explanations

    phrases indicating two distinct categories or options

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to categorization or classification into two groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Annotations
    -0.76
    bats
    -0.69
    aukee
    -0.67
    Beast
    -0.65
    MJ
    -0.61
    Board
    -0.60
    ãĤ¼ãĤ¦ãĤ¹
    -0.60
     ado
    -0.59
    uddin
    -0.59
    idth
    -0.59
    POSITIVE LOGITS
     distinct
    0.79
    rencies
    0.70
     simultaneously
    0.67
    :-
    0.67
     concurrently
    0.64
     concurrent
    0.64
     different
    0.63
    %:
    0.62
     viz
    0.62
     types
    0.61
    Activations Density 0.166%

    No Known Activations