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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. 7-RES-JB
    11. 14102
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    Explanations

    proper nouns or names of specific places and organizations related to military or government entities

    oai_token-act-pair · gpt-3.5-turbo

    the end of a text or document

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Ò
    -0.70
    ÏĢ
    -0.63
    !.
    -0.60
    Ó
    -0.60
    —"
    -0.59
    å¤
    -0.59
    --+
    -0.58
    ãĥ¼ãĥĨ
    -0.58
    omever
    -0.58
    Ãĥ
    -0.58
    POSITIVE LOGITS
    resa
    1.20
    oret
    1.17
    odore
    1.11
    ories
    0.88
     easiest
    0.84
     biggest
    0.83
     vast
    0.82
     latter
    0.82
     simplest
    0.81
     quickest
    0.80
    Activations Density 0.434%

    No Known Activations