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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. 1-RES-JB
    11. 3590
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    Explanations

    mentions of a specific word 'Sub' with either a numerical suffix or a specific context

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of the term "Sub" followed by a number, indicating a focus on a specific topic or concept related to "Sub."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éĽ
    -0.84
    çİĭ
    -0.81
     GOODMAN
    -0.80
    OHN
    -0.80
     Papers
    -0.76
     Dol
    -0.76
    assetsadobe
    -0.76
    çĦ
    -0.75
    IER
    -0.75
    OPLE
    -0.75
    POSITIVE LOGITS
    sequent
    1.40
    sequently
    1.40
    mitted
    1.27
    jug
    1.22
    marine
    1.16
    missive
    1.15
    stantial
    1.14
    ordinate
    1.14
    mitting
    1.09
    izoph
    1.05
    Activations Density 0.008%

    No Known Activations