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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. 12-RES-JB
    11. 3609
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    rete
    -0.72
    Ŀ
    -0.66
    vier
    -0.66
    lda
    -0.64
    seys
    -0.63
    ledged
    -0.61
     WOR
    -0.60
    resa
    -0.59
    Catalog
    -0.58
    patch
    -0.58
    POSITIVE LOGITS
     an
    1.45
    An
    1.30
     An
    1.26
    an
    0.96
     AN
    0.81
     Exhibit
    0.61
    interstitial
    0.61
    tein
    0.59
    eri
    0.58
    anism
    0.55
    Activations Density 0.648%

    No Known Activations