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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. 7-RES-JB
    11. 20704
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    Explanations

    sentences discussing hypothetical situations or future actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of future possibilities and hypothetical scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Fine
    -0.63
    artisan
    -0.62
     Tick
    -0.62
    ancer
    -0.61
     LTD
    -0.59
     Shooting
    -0.58
     Perfect
    -0.57
     Fancy
    -0.57
    Arcade
    -0.56
     Provided
    -0.56
    POSITIVE LOGITS
     be
    0.94
     entail
    0.84
     avail
    0.84
     tolerate
    0.80
     feas
    0.78
     achieve
    0.77
    »Ĵ
    0.77
     survive
    0.77
     arrive
    0.76
     accomplish
    0.76
    Activations Density 0.155%

    No Known Activations