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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. 8-RES-JB
    11. 15048
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    Explanations

    data related to financial trends and statistics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to increases and decreases in measurements or values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mop
    -0.71
    eur
    -0.66
     Founding
    -0.64
     masses
    -0.62
     ty
    -0.61
    士
    -0.56
    ano
    -0.56
    æµ
    -0.53
     surround
    -0.53
    rette
    -0.52
    POSITIVE LOGITS
    graded
    0.98
    grading
    0.94
     sharply
    0.92
    gradation
    0.89
    stairs
    0.86
    grades
    0.85
     marginally
    0.78
    asing
    0.77
    isher
    0.76
    dating
    0.74
    Activations Density 0.064%

    No Known Activations