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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 22351
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    submissions or references related to a specific subject

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Sub" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OHN
    -0.82
     Dol
    -0.79
    ILLE
    -0.77
     Cors
    -0.77
    çİĭ
    -0.77
     fir
    -0.73
    GGGG
    -0.71
     Zurich
    -0.71
     Muse
    -0.70
     Fra
    -0.70
    POSITIVE LOGITS
    sequent
    1.44
    mitted
    1.43
    sequently
    1.39
    stantial
    1.22
    verting
    1.21
    ordinate
    1.19
    mitting
    1.17
    jug
    1.16
    scription
    1.15
    missive
    1.15
    Activations Density 0.010%

    No Known Activations