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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. 17766
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    INDEX
    Explanations

    reasons or causes for a certain situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that explain causes or justifications

    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
     helicop
    -0.69
    KY
    -0.66
     Carbuncle
    -0.66
    chron
    -0.66
     puck
    -0.62
     mathemat
    -0.61
     livest
    -0.60
    borg
    -0.60
     sweats
    -0.60
    yss
    -0.59
    POSITIVE LOGITS
     why
    1.20
    abl
    1.05
    why
    0.94
     WHY
    0.94
     behind
    0.82
    forward
    0.77
    Origin
    0.76
    stadt
    0.75
    stay
    0.74
    Why
    0.74
    Activations Density 0.027%

    No Known Activations