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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. 6480
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    Explanations

    terms related to rationality or rationalizing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rationality and logical reasoning

    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
    luster
    -0.76
    rael
    -0.75
    ammy
    -0.71
    kick
    -0.70
    along
    -0.68
     Royale
    -0.66
    yang
    -0.66
    hire
    -0.66
    hold
    -0.66
     Banner
    -0.64
    POSITIVE LOGITS
    izations
    1.20
    ization
    1.18
    izing
    1.10
    isations
    1.08
    istic
    1.05
    izes
    1.03
    izers
    1.01
    ized
    1.01
    isation
    1.00
    iated
    0.96
    Activations Density 0.016%

    No Known Activations