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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. 9666
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    Explanations

    phrases indicating the start or initiation of various actions or endeavors

    oai_token-act-pair · gpt-3.5-turbo
    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
    ensis
    -0.77
    enance
    -0.75
     embodiments
    -0.71
     outcomes
    -0.70
     proportions
    -0.68
     coefficients
    -0.68
    ees
    -0.64
     probabilities
    -0.64
     endors
    -0.63
    things
    -0.63
    POSITIVE LOGITS
     new
    0.91
     sizable
    0.88
     bunch
    0.87
     sizeable
    0.86
     raft
    0.84
     massive
    0.83
     handful
    0.82
     series
    0.82
     nationwide
    0.82
     huge
    0.81
    Activations Density 0.159%

    No Known Activations