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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. 10-RES-JB
    11. 4871
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    Explanations

    descriptive phrases related to sports events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rooms
    -0.81
    forums
    -0.81
    masters
    -0.76
    wiki
    -0.74
     organisers
    -0.74
    reality
    -0.72
     forums
    -0.71
    urers
    -0.71
     historians
    -0.70
     testers
    -0.70
    POSITIVE LOGITS
     volley
    1.07
     header
    0.95
     leaping
    0.92
     interception
    0.89
     fingert
    0.88
     alley
    0.86
     flurry
    0.85
     takedown
    0.85
     barrage
    0.84
    Shot
    0.84
    Activations Density 0.192%

    No Known Activations