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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. 9511
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    Explanations

    descriptions of scenic views or landscapes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scenic views or landscapes

    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
    vernment
    -0.76
    vous
    -0.75
    backer
    -0.71
    lins
    -0.69
    ivari
    -0.64
    unker
    -0.64
    arding
    -0.63
    pmwiki
    -0.63
    accompan
    -0.62
     whistle
    -0.62
    POSITIVE LOGITS
    finder
    1.07
    ports
    0.95
    ById
    0.92
    port
    0.90
    screen
    0.82
    oran
    0.78
    ories
    0.78
    seeing
    0.78
    model
    0.76
     Telescope
    0.76
    Activations Density 0.044%

    No Known Activations