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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. 11-RES-JB
    11. 11456
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    Explanations

    short tokens consisting of letters in lower and uppercase that contain 'Te'

    oai_token-act-pair · gpt-3.5-turbo

    the repeated occurrence of the substring "Te" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PRESS
    -0.66
     ESA
    -0.63
     Speedway
    -0.62
    IFIED
    -0.61
     bottleneck
    -0.61
    wagen
    -0.58
     stamped
    -0.58
     OWN
    -0.56
     Icelandic
    -0.56
     drift
    -0.55
    POSITIVE LOGITS
    achable
    1.29
    quila
    1.22
    achers
    1.15
    aching
    1.14
    lev
    1.10
    legraph
    1.09
    levision
    1.09
    aches
    1.08
    acher
    1.07
    jas
    1.07
    Activations Density 0.015%

    No Known Activations