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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
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    Explanations

    conditional statements about hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements about future scenarios or hypothetical situations

    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
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    No Comments

    Negative Logits
     adolesc
    -0.71
     Checking
    -0.67
    Favorite
    -0.66
     receptions
    -0.65
    foreseen
    -0.64
     Crunch
    -0.63
    AMA
    -0.61
     Palest
    -0.61
    UFF
    -0.60
    soever
    -0.58
    POSITIVE LOGITS
     surely
    1.30
     undoubtedly
    1.21
     probably
    1.16
     doubtless
    1.14
     be
    1.12
     likely
    1.09
     definitely
    1.08
     certainly
    1.08
     gladly
    1.05
     become
    1.00
    Activations Density 0.202%

    No Known Activations