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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. 3-RES-JB
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    INDEX
    Explanations

    mentions of the word "adoption."

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of adoption in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rop
    -0.83
    resp
    -0.79
    rup
    -0.75
    gm
    -0.71
    enced
    -0.69
    raw
    -0.68
    roc
    -0.68
    individual
    -0.68
    published
    -0.68
    zel
    -0.67
    POSITIVE LOGITS
     acceptance
    0.81
     mismatch
    0.80
     prevention
    0.78
    eers
    0.76
     rates
    0.75
    ertodd
    0.72
     rate
    0.72
    eering
    0.72
     hurdle
    0.71
     uptake
    0.70
    Activations Density 0.034%

    No Known Activations