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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. 9-RES-JB
    11. 3086
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    Explanations

    phrases related to innate qualities or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intrinsic characteristics or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ession
    -0.75
    eday
    -0.75
    achu
    -0.71
    fing
    -0.70
    EY
    -0.70
    azine
    -0.68
    imaru
    -0.67
    Ey
    -0.66
    Ń·
    -0.66
    antam
    -0.65
    POSITIVE LOGITS
     weaknesses
    1.02
     biases
    0.96
     weakness
    0.93
     flaws
    0.92
     contradiction
    0.90
     contradictions
    0.88
     validity
    0.88
     bias
    0.88
    urities
    0.85
     traits
    0.84
    Activations Density 0.063%

    No Known Activations