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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. 1-RES-JB
    11. 8840
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    Explanations

    references to options or alternatives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "or"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ires
    -0.70
    efer
    -0.62
    IDENT
    -0.62
    istar
    -0.61
    Ident
    -0.61
    IGHTS
    -0.61
    EMP
    -0.60
    moil
    -0.60
    hes
    -0.60
    ults
    -0.59
    POSITIVE LOGITS
    nam
    1.10
    chard
    1.06
    acle
    1.05
    chid
    1.04
    ifice
    0.99
    Else
    0.98
    nery
    0.97
    acles
    0.96
    ific
    0.88
     otherwise
    0.87
    Activations Density 0.154%

    No Known Activations