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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. 15015
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    Explanations

    text related to the term "Rec" or "Recording"

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "recreate" or its derivatives

    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
    furt
    -0.69
    loo
    -0.69
    MENTS
    -0.69
     Kenyan
    -0.68
    ahime
    -0.66
    tips
    -0.64
     Whitman
    -0.63
    glers
    -0.63
    OPLE
    -0.63
     Tasman
    -0.63
    POSITIVE LOGITS
    ycle
    1.27
    ipient
    1.15
    urrent
    1.11
    ruit
    1.09
    ruits
    1.08
    ipes
    1.07
    ording
    1.04
    ords
    1.03
    oded
    1.03
    oding
    1.02
    Activations Density 0.019%

    No Known Activations