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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. 3-RES-JB
    11. 21254
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    Explanations

    references to statements of fact or fact-checking

    oai_token-act-pair · gpt-3.5-turbo

    references to facts or factual statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gian
    -0.73
    avy
    -0.72
    avorite
    -0.72
    DER
    -0.68
    taboola
    -0.67
    tones
    -0.65
     pigeon
    -0.65
    hovah
    -0.64
    ription
    -0.64
     borough
    -0.64
    POSITIVE LOGITS
    ional
    1.02
    Fact
    0.93
    itious
    0.86
    undo
    0.84
    ually
    0.83
     Fact
    0.83
    ual
    0.82
    ially
    0.82
    ories
    0.79
    fact
    0.78
    Activations Density 0.017%

    No Known Activations