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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. 10-RES-JB
    11. 7289
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    Explanations

    adjectives and descriptive phrases related to people or objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to absurd or unusual situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.53
     Sutherland
    -0.49
    Leaks
    -0.49
    velength
    -0.47
    schild
    -0.46
     Instr
    -0.45
     Moroc
    -0.44
     Colombian
    -0.44
     Paddock
    -0.43
    DonaldTrump
    -0.42
    POSITIVE LOGITS
     thereof
    1.00
     thereafter
    0.95
     thereto
    0.93
     alike
    0.79
     versa
    0.77
     accordingly
    0.77
    cellaneous
    0.76
     respectively
    0.74
     therein
    0.73
     consequ
    0.70
    Activations Density 0.580%

    No Known Activations