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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. 10-RES-JB
    11. 805
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    INDEX
    Explanations

    phrases indicating impactful consequences or effects

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate significant impacts or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owship
    -0.81
    bis
    -0.76
    bys
    -0.72
    SHIP
    -0.68
    abee
    -0.68
    SHARE
    -0.67
    NI
    -0.64
     Obj
    -0.62
    Train
    -0.62
    pse
    -0.61
    POSITIVE LOGITS
     impact
    1.43
     implications
    1.37
     effect
    1.35
     ramifications
    1.28
     repercussions
    1.28
     significance
    1.27
     consequences
    1.22
     reperc
    1.20
     ripple
    1.19
     bearing
    1.17
    Activations Density 0.164%

    No Known Activations