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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. 3-RES-JB
    11. 21123
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    INDEX
    Explanations

    superlatives indicating the most extreme or minimum value in a category

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "lowest" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mun
    -0.84
    ón
    -0.71
    bara
    -0.70
    rahim
    -0.69
    bal
    -0.68
    manuel
    -0.68
    rs
    -0.67
    uncture
    -0.65
    ittees
    -0.65
    Maps
    -0.65
    POSITIVE LOGITS
     lowest
    0.75
    «ĺ
    0.74
     Countries
    0.73
    dden
    0.71
     imaginable
    0.70
     pitched
    0.68
    hest
    0.68
     bidder
    0.68
     detectable
    0.65
     dose
    0.65
    Activations Density 0.009%

    No Known Activations