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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. 21784
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    Explanations

    adjectives related to comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant impacts or consequences

    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
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    Negative Logits
    istani
    -0.52
     Vaugh
    -0.52
    —"
    -0.51
     [*
    -0.47
    halla
    -0.46
    []
    -0.45
     innocence
    -0.44
    beh
    -0.43
    ã
    -0.42
    educ
    -0.42
    POSITIVE LOGITS
    )?
    0.77
     Shutterstock
    0.72
    '?
    0.61
    etheless
    0.55
    utterstock
    0.53
    "?
    0.53
     Quote
    0.53
    malink
    0.53
    ?",
    0.52
    ?),
    0.52
    Activations Density 0.732%

    No Known Activations