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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
    11. 18282
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    Explanations

    programming languages and tools

    oai_token-act-pair · gpt-3.5-turbo

    alternatives or options presented in a context

    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
    ires
    -0.77
    ETS
    -0.69
    IGHTS
    -0.67
    EMP
    -0.65
    successfully
    -0.65
    ENE
    -0.64
    edia
    -0.63
    efer
    -0.63
    IDENT
    -0.62
    Ident
    -0.61
    POSITIVE LOGITS
    acle
    1.32
    nam
    1.30
    chard
    1.27
    ifice
    1.20
    acles
    1.19
    chid
    1.17
    Else
    1.11
     otherwise
    1.08
    ific
    1.07
    acular
    1.06
    Activations Density 0.215%

    No Known Activations