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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. 4-RES-JB
    11. 18480
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    Explanations

    words or phrases related to the concept of rending or renditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "rendering" or similar concepts, particularly in creative or technical contexts

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

    No Comments

    Negative Logits
    keley
    -0.73
    OPS
    -0.69
     Kaufman
    -0.67
    ãĥīãĥ©
    -0.65
     ashes
    -0.64
    apo
    -0.63
    ategory
    -0.63
    aiman
    -0.63
    peria
    -0.62
     Speedway
    -0.61
    POSITIVE LOGITS
    ezvous
    1.55
    erer
    1.23
    rend
    1.22
    erers
    1.09
    eering
    1.08
    ing
    1.00
    ered
    0.98
    ers
    0.93
    ings
    0.91
    ering
    0.85
    Activations Density 0.013%

    No Known Activations