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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. 3569
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    Explanations

    references to "ice"

    oai_token-act-pair · gpt-3.5-turbo

    references to ice

    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
    rompt
    -0.84
    ENTION
    -0.77
    ivating
    -0.76
    duc
    -0.76
    edy
    -0.75
    orial
    -0.75
    INGTON
    -0.74
    ention
    -0.73
    entary
    -0.73
     candidates
    -0.73
    POSITIVE LOGITS
     rink
    1.26
     cream
    1.19
     skating
    1.04
    breakers
    0.99
    breaker
    0.95
    cream
    0.95
     Cream
    0.91
     hockey
    0.88
     crystals
    0.84
     axe
    0.83
    Activations Density 0.011%

    No Known Activations