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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. 17124
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    Explanations

    references to forms or documents

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of forms

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     bark
    -0.69
    ILLE
    -0.65
     Silence
    -0.63
    mins
    -0.61
     boo
    -0.60
    ?????
    -0.60
     railing
    -0.59
     Leone
    -0.58
     Flavoring
    -0.58
    Rare
    -0.58
    POSITIVE LOGITS
    idable
    1.25
    aldehyde
    1.20
    ulas
    1.00
    atted
    0.93
    ula
    0.91
    forms
    0.89
    ulators
    0.89
    atter
    0.89
    ultan
    0.85
    ulating
    0.85
    Activations Density 0.025%

    No Known Activations