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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. 1-RES-JB
    11. 22276
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    Explanations

    names or related words ending in "baum"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AMES
    -0.72
    FUL
    -0.67
    Offline
    -0.65
    IVE
    -0.65
    UTC
    -0.64
     fierce
    -0.63
    ITAL
    -0.62
    Lex
    -0.62
    ACTED
    -0.62
     historic
    -0.61
    POSITIVE LOGITS
    baum
    1.45
    gren
    0.98
    ogl
    0.98
    ites
    0.91
    berg
    0.91
    stein
    0.90
    qv
    0.89
    ite
    0.88
    akov
    0.88
    owitz
    0.87
    Activations Density 0.008%

    No Known Activations