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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 19282
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    Explanations

    statements or claims of fact

    oai_token-act-pair · gpt-3.5-turbo

    words related to factual statements or claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.80
     throats
    -0.76
    gian
    -0.69
     veins
    -0.69
     charcoal
    -0.68
     Hutchinson
    -0.68
    haw
    -0.67
     eyebrows
    -0.66
    DER
    -0.66
     Bhar
    -0.65
    POSITIVE LOGITS
    Fact
    1.06
    ional
    0.87
     Fact
    0.83
    fact
    0.83
    facts
    0.81
    itious
    0.80
    ual
    0.78
    ulence
    0.77
    onom
    0.77
    finding
    0.75
    Activations Density 0.008%

    No Known Activations