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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. 11-RES-JB
    11. 5261
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    Explanations

    phrases related to actions or events being performed or about to be performed by individuals

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gom
    -0.70
    bury
    -0.67
    uctor
    -0.64
    acus
    -0.64
    ð
    -0.62
    sburg
    -0.62
    shine
    -0.60
     crumble
    -0.59
    ozy
    -0.59
    issues
    -0.58
    POSITIVE LOGITS
     flanked
    1.32
     accompanied
    1.26
     joined
    1.17
     followed
    1.16
     preceded
    1.08
     greeted
    1.05
     aided
    0.99
     surrounded
    0.94
     hailed
    0.92
     hoping
    0.91
    Activations Density 0.199%

    No Known Activations