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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. 8-RES-JB
    11. 10647
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    Explanations

    specific patterns of numbers and punctuation within a technical context

    oai_token-act-pair · gpt-3.5-turbo

    colons used in technical contexts or code snippets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behavi
    -0.76
     outright
    -0.66
    ynes
    -0.64
    Reilly
    -0.64
    poons
    -0.63
     troubles
    -0.61
     arming
    -0.60
     backfield
    -0.60
     trouble
    -0.59
    dinand
    -0.59
    POSITIVE LOGITS
    hover
    0.96
    latest
    0.90
    blank
    0.84
    memory
    0.81
    YES
    0.81
    344
    0.81
    mount
    0.79
    cv
    0.78
    eyes
    0.78
    *:
    0.78
    Activations Density 0.113%

    No Known Activations