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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. 23565
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    INDEX
    Explanations

    positive emotional responses or impactful moments

    oai_token-act-pair · gpt-3.5-turbo

    references to family relations and connections in various contexts

    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
    TEXTURE
    -0.65
    FUN
    -0.64
    amazon
    -0.63
    DATA
    -0.62
    EEK
    -0.59
     Clause
    -0.58
    ÙIJ
    -0.57
    TIME
    -0.57
     Nort
    -0.57
     fung
    -0.55
    POSITIVE LOGITS
    ifies
    1.24
    ounces
    1.21
    poses
    1.08
    itates
    1.06
    ounced
    1.05
    rolled
    0.95
    wrote
    0.95
    izes
    0.94
    overed
    0.94
    tains
    0.92
    Activations Density 0.356%

    No Known Activations