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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. 12094
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    Explanations

    phrases involving descriptions or explanations

    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
    rone
    -0.70
    gomery
    -0.64
    arlane
    -0.64
    });
    -0.60
    ledged
    -0.60
    ñ
    -0.59
    res
    -0.59
    pps
    -0.59
    red
    -0.58
    iers
    -0.58
    POSITIVE LOGITS
     follows
    1.39
     "...
    1.18
     "âĢ¦
    1.10
     "'
    1.07
     "[
    1.05
     having
    1.05
     "
    1.04
    pires
    1.00
     being
    0.99
     consisting
    0.99
    Activations Density 0.100%

    No Known Activations