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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. 9-RES-JB
    6. 16714
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    Explanations

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    the presence of paragraph breaks or sections within a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cerberus
    -0.88
     Wonderland
    -0.83
     Uncharted
    -0.80
     Gravity
    -0.76
     Gotham
    -0.76
     Rockies
    -0.75
     Victorian
    -0.74
     Arkham
    -0.74
     Midwest
    -0.74
     AFL
    -0.74
    POSITIVE LOGITS
    ifa
    1.06
    aida
    1.04
    arij
    1.03
    rahim
    0.99
    afi
    0.98
    jan
    0.97
     Bakr
    0.97
    vez
    0.96
     Hassan
    0.96
    iy
    0.96
    Activations Density 0.353%

    No Known Activations