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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. 11335
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    Explanations

    occurrences of the word "Bitrix" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of "Bitrix 24"

    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
     deceased
    -0.68
    aptic
    -0.67
     sensible
    -0.67
     critically
    -0.65
     sustaining
    -0.65
     sustained
    -0.62
     explanatory
    -0.62
     universally
    -0.60
     sober
    -0.60
     foundational
    -0.60
    POSITIVE LOGITS
    rix
    1.31
    andra
    0.90
    ius
    0.89
    ison
    0.87
    ieth
    0.87
    ãĥ¼ãĥĨãĤ£
    0.84
    alus
    0.84
    boxing
    0.82
    naire
    0.81
    ipel
    0.77
    Activations Density 0.010%

    No Known Activations