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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. 15350
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    INDEX
    Explanations

    hypothetical scenarios or questions starting with "What would."

    oai_token-act-pair · gpt-3.5-turbo

    phrases speculating about hypothetical scenarios or questions

    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
     Bridges
    -0.71
    cule
    -0.69
    ching
    -0.68
    boards
    -0.67
    haus
    -0.67
    egg
    -0.67
    anie
    -0.66
    Chart
    -0.65
    fort
    -0.65
    zeb
    -0.63
    POSITIVE LOGITS
     happen
    0.90
    ?]
    0.80
     entail
    0.72
     happens
    0.72
     transpired
    0.70
     happened
    0.69
     characterize
    0.69
    accompan
    0.67
     happ
    0.66
     differe
    0.65
    Activations Density 0.085%

    No Known Activations