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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. 11-RES-JB
    11. 1606
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    Explanations

    text related to misinformation and false claims

    oai_token-act-pair · gpt-3.5-turbo

    references to misinformation and baseless claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onding
    -0.81
    ounter
    -0.76
    eatures
    -0.76
    onds
    -0.75
    externalActionCode
    -0.74
    arius
    -0.74
    vantage
    -0.73
    Interstitial
    -0.70
    ahime
    -0.69
    cially
    -0.69
    POSITIVE LOGITS
     misinformation
    1.69
     falsehood
    1.65
     disinformation
    1.53
     nonsense
    1.50
     lies
    1.49
     unfounded
    1.49
     baseless
    1.48
     slander
    1.48
     myths
    1.45
     untrue
    1.40
    Activations Density 0.467%

    No Known Activations