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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23874
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    Explanations

    lines of code or code-related terms

    oai_token-act-pair · gpt-3.5-turbo

    functions and methods in programming-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Downloadha
    -0.78
     paran
    -0.76
    ndra
    -0.68
     Sahara
    -0.66
    oland
    -0.65
    ür
    -0.65
     streng
    -0.63
    laus
    -0.61
     mouths
    -0.61
     Schne
    -0.61
    POSITIVE LOGITS
    ();
    0.89
    Flags
    0.88
    ())
    0.84
    (),
    0.84
    ()
    0.82
    ());
    0.77
    Context
    0.77
    Instance
    0.76
    ().
    0.76
    Text
    0.75
    Activations Density 0.082%

    No Known Activations