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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. 16479
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    Explanations

    nouns related to formal attire or clothing

    oai_token-act-pair · gpt-3.5-turbo

    references to suits or suitcases

    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
    eger
    -0.72
    prototype
    -0.70
     CTR
    -0.70
    ãĥ£
    -0.66
    OWN
    -0.65
    ä¼
    -0.64
    pher
    -0.63
    raltar
    -0.60
    ode
    -0.59
    ulhu
    -0.59
    POSITIVE LOGITS
    cases
    1.49
    ably
    1.29
    ability
    1.12
     jacket
    0.95
    ors
    0.93
    case
    0.92
    emate
    0.91
    suit
    0.89
    idity
    0.88
     jackets
    0.88
    Activations Density 0.055%

    No Known Activations