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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. 10-RES-JB
    11. 8434
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    Explanations

    phrases that indicate investigation or evaluation of a situation

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    —-
    -0.56
     pursu
    -0.54
    —"
    -0.52
    LI
    -0.51
    Math
    -0.50
     Vaugh
    -0.50
    Aren
    -0.50
    Versions
    -0.50
     Jr
    -0.49
    Kin
    -0.49
    POSITIVE LOGITS
    ometric
    0.77
     hereby
    0.70
     ALWAYS
    0.66
    ometry
    0.65
     underway
    0.63
    ername
    0.63
     always
    0.60
     understatement
    0.59
     abound
    0.59
     booming
    0.59
    Activations Density 0.276%

    No Known Activations