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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. 9-RES-JB
    11. 4322
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    Explanations

    phrases indicating communication or instructions being given

    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
    oshenko
    -0.71
    idates
    -0.61
     operates
    -0.60
    egal
    -0.58
    ses
    -0.57
     nowadays
    -0.56
     notoriously
    -0.55
    ouls
    -0.54
     understandably
    -0.53
     occupies
    -0.52
    POSITIVE LOGITS
     myself
    1.59
     my
    1.19
     him
    1.02
     ourselves
    0.98
     them
    0.89
    ucc
    0.80
     mine
    0.78
     THEM
    0.77
    igree
    0.69
    yss
    0.69
    Activations Density 0.534%

    No Known Activations