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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. 6-RES-JB
    11. 8001
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    Explanations

    explicit expressions of strong opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong sentiments or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.74
    Wik
    -0.65
    _-
    -0.63
    Ct
    -0.63
    indle
    -0.62
    iba
    -0.61
    yrinth
    -0.61
    Interface
    -0.59
     Cla
    -0.59
    anian
    -0.58
    POSITIVE LOGITS
     impression
    0.84
     advice
    0.79
    icum
    0.79
     Rosenstein
    0.70
    onsense
    0.69
     counsel
    0.67
    summary
    0.66
    chance
    0.66
    arsh
    0.65
     amnesty
    0.64
    Activations Density 0.213%

    No Known Activations