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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. 4-RES-JB
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    Explanations

    the word "reason"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate justification or explanation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Riders
    -0.76
     Saskatchewan
    -0.70
     Reno
    -0.69
     Huck
    -0.69
    boro
    -0.67
     Poc
    -0.66
     Gon
    -0.66
    agra
    -0.65
     Lag
    -0.64
     Mul
    -0.64
    POSITIVE LOGITS
    abl
    0.96
    asons
    0.87
     reasons
    0.85
    ASON
    0.82
    mpeg
    0.76
    colo
    0.74
    DragonMagazine
    0.74
     sake
    0.73
     why
    0.71
    reason
    0.71
    Activations Density 0.012%

    No Known Activations