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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. 7-RES-JB
    11. 21474
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    Explanations

    steps or instructions to keep doing something repeatedly

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate persistence or continuous actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocard
    -0.72
    WC
    -0.72
    orthy
    -0.70
    ogens
    -0.66
    ibaba
    -0.66
    icho
    -0.65
    ouch
    -0.65
    ISON
    -0.64
    onom
    -0.63
    WI
    -0.63
    POSITIVE LOGITS
     till
    1.19
     endlessly
    1.17
     until
    1.15
     progressively
    1.11
     increments
    1.10
     repet
    1.07
     successive
    1.07
     iterations
    1.06
     steadily
    1.04
     cycles
    1.01
    Activations Density 0.915%

    No Known Activations