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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. 9084
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    Explanations

    negations or contradictions

    oai_token-act-pair · gpt-3.5-turbo

    common negations and their relationship to statements of fact

    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
    iku
    -0.63
    abul
    -0.61
     CSI
    -0.61
     Pension
    -0.61
    cies
    -0.60
    ifa
    -0.60
     Petersen
    -0.59
    ilogy
    -0.59
    hetti
    -0.59
    xon
    -0.59
    POSITIVE LOGITS
    not
    1.49
     not
    1.38
    NOT
    1.22
     NOT
    1.20
    Not
    1.15
     Not
    1.11
    nt
    0.98
    nor
    0.93
    never
    0.90
    å¦
    0.88
    Activations Density 0.252%

    No Known Activations