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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. 19368
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    Explanations

    percentages or amounts that have changed

    oai_token-act-pair · gpt-3.5-turbo

    changes in numerical data or statistics, particularly increases and decreases

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mop
    -0.78
     ty
    -0.74
    eur
    -0.71
     masses
    -0.63
     Founding
    -0.60
     blockade
    -0.58
     Pros
    -0.56
     surround
    -0.56
    ²¾
    -0.56
    need
    -0.55
    POSITIVE LOGITS
    grading
    1.00
    graded
    0.98
     sharply
    0.91
    stairs
    0.80
    wark
    0.79
    gradation
    0.78
    asing
    0.78
    grades
    0.75
    isher
    0.72
    dating
    0.71
    Activations Density 0.069%

    No Known Activations