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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. 8-RES-JB
    11. 14196
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    INDEX
    Explanations

    statements or facts being checked for accuracy

    oai_token-act-pair · gpt-3.5-turbo

    references to facts or factual assertions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     piping
    -0.69
    artney
    -0.67
    JV
    -0.66
    tone
    -0.66
     pige
    -0.65
     pigeon
    -0.64
     Klux
    -0.64
    Interstitial
    -0.63
    capacity
    -0.59
     porous
    -0.59
    POSITIVE LOGITS
    ually
    1.38
    ional
    1.33
    orial
    1.22
    itious
    1.13
    ual
    1.08
    sheet
    1.07
    uality
    1.01
    oids
    1.00
    sheets
    0.99
    finding
    0.97
    Activations Density 0.039%

    No Known Activations