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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. 6307
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    Explanations

    names of people followed by a verb in past or future tense

    oai_token-act-pair · gpt-3.5-turbo
    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
    è¦ļéĨĴ
    -0.62
     Brill
    -0.62
     Relative
    -0.61
    Downloadha
    -0.59
     Artificial
    -0.59
     Household
    -0.59
     preserves
    -0.57
     Pract
    -0.57
    values
    -0.56
    ractical
    -0.56
    POSITIVE LOGITS
     gladly
    0.95
    've
    0.93
     suffice
    0.91
     be
    0.90
     doubtless
    0.90
    apest
    0.88
     later
    0.87
    othy
    0.85
     wander
    0.85
     eventually
    0.84
    Activations Density 0.137%

    No Known Activations