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

    the word "hesitate" and variations of it

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andals
    -0.89
    ammy
    -0.82
    ore
    -0.79
    ifling
    -0.75
    ham
    -0.74
    ramid
    -0.73
    rought
    -0.72
    href
    -0.72
    elf
    -0.72
    quality
    -0.71
    POSITIVE LOGITS
     hesitation
    1.28
     hesitate
    1.19
     hes
    1.04
     hesitated
    0.96
     hesitant
    0.90
     warr
    0.83
     reluct
    0.79
     apprehens
    0.78
     reluctance
    0.76
     shy
    0.76
    Activations Density 0.011%

    No Known Activations