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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. 8039
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    INDEX
    Explanations

    statements asserting an argument or position

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    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
    natureconservancy
    -0.70
    emis
    -0.67
    Tax
    -0.66
    WARD
    -0.65
    thro
    -0.63
    ctic
    -0.58
    Guard
    -0.58
    IDA
    -0.56
    "],"
    -0.55
    hips
    -0.55
    POSITIVE LOGITS
    soever
    0.77
    cher
    0.76
     culminated
    0.76
     lasted
    0.74
    ching
    0.71
    ched
    0.69
     same
    0.68
     mattered
    0.68
    ÅĤ
    0.67
    chers
    0.65
    Activations Density 0.103%

    No Known Activations