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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. 7-RES-JB
    11. 18744
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    Explanations

    phrases expressing opinions or evaluations, often with emotional undertones

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positive or enjoyable experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gres
    -0.79
    regate
    -0.79
    folios
    -0.79
    atoes
    -0.78
    gage
    -0.77
    plings
    -0.77
    ghost
    -0.77
    Profile
    -0.76
    ournal
    -0.75
    ebus
    -0.75
    POSITIVE LOGITS
     punishable
    0.92
     worth
    0.92
     overdue
    0.88
     testament
    0.81
     indicative
    0.81
     unavoidable
    0.79
     deserves
    0.79
     downright
    0.78
     worthy
    0.78
     deserving
    0.78
    Activations Density 0.593%

    No Known Activations