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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
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    Explanations

    the word "few" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "few" and its variations in different contexts

    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
    uben
    -0.67
    roup
    -0.67
    dress
    -0.66
    irst
    -0.65
    alam
    -0.64
    atum
    -0.63
    needs
    -0.63
    acus
    -0.63
    igmatic
    -0.62
    ipper
    -0.62
    POSITIVE LOGITS
     hundred
    1.03
     dozen
    0.99
     thousand
    0.92
    een
    0.88
     mortals
    0.83
    ishers
    0.82
    uously
    0.81
     centimeters
    0.80
     milliseconds
    0.79
     weeks
    0.75
    Activations Density 0.033%

    No Known Activations