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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. 10214
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    Explanations

    phrases related to sports and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports and athletic competitions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    POSE
    -0.83
    Contents
    -0.80
    SourceFile
    -0.76
    ":["
    -0.76
    theless
    -0.73
     secondly
    -0.73
     furthermore
    -0.72
    Footnote
    -0.71
    âĵĺ
    -0.71
    ãĢIJ
    -0.71
    POSITIVE LOGITS
    ').
    1.10
     Replay
    1.00
    ']
    0.99
    ?]
    0.94
     })
    0.83
    ')
    0.80
     });
    0.80
    ]'
    0.80
    )'
    0.75
     .)
    0.75
    Activations Density 0.427%

    No Known Activations