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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. 6-RES-JB
    11. 16827
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    instances of the placeholder token and instances of the word "THE"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stood
    -0.72
     Bulg
    -0.69
     Schwar
    -0.67
    lets
    -0.65
    gy
    -0.65
    sup
    -0.65
    ãĤ£
    -0.65
     Gong
    -0.64
     Murdoch
    -0.63
    tons
    -0.61
    POSITIVE LOGITS
    BOOK
    1.32
    MAN
    1.30
    ERSON
    1.27
    VERS
    1.27
    ING
    1.25
    ION
    1.23
    FORE
    1.22
    FER
    1.22
    VER
    1.22
    IN
    1.22
    Activations Density 0.161%

    No Known Activations