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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    the word "lot" followed by various nouns indicating quantity or frequency

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the quantity of something, specifically the word "lot."

    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
    heid
    -0.85
    ando
    -0.77
    gary
    -0.76
    rift
    -0.69
    perty
    -0.68
    dom
    -0.67
    incinnati
    -0.67
    acus
    -0.67
    ichen
    -0.67
    tein
    -0.65
    POSITIVE LOGITS
     amount
    0.81
     amounts
    0.69
    tery
    0.66
    entimes
    0.66
    needed
    0.65
     different
    0.63
    ãĤ§
    0.61
     Abrams
    0.61
     Irwin
    0.59
     nicer
    0.59
    Activations Density 0.040%

    No Known Activations