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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. 6-RES-JB
    11. 13476
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    INDEX
    Explanations

    phrases or sentences where the text discusses being primarily focused on specific topics or areas

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "focused" and its variations relating to attention or emphasis

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ania
    -0.78
    BIT
    -0.73
    added
    -0.65
    Pass
    -0.64
    avis
    -0.64
    ston
    -0.64
     excuse
    -0.64
    anne
    -0.64
    uddle
    -0.63
    mia
    -0.63
    POSITIVE LOGITS
     focused
    0.86
     foc
    0.83
     focusing
    0.79
     toward
    0.79
    sonian
    0.79
     focus
    0.78
     srf
    0.77
     attention
    0.77
     focuses
    0.76
    peed
    0.74
    Activations Density 0.035%

    No Known Activations