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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. 1329
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    Explanations

    phrases related to following instructions or guidelines

    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
    teness
    -0.58
    pires
    -0.57
    heast
    -0.56
    iveness
    -0.55
     Compass
    -0.54
    yt
    -0.52
    auga
    -0.52
    ï¸ı
    -0.52
     of
    -0.52
    tal
    -0.51
    POSITIVE LOGITS
     Scrib
    0.52
     scissors
    0.45
    оÐ
    0.42
    ãģ«
    0.41
     exting
    0.41
     negotiators
    0.41
     gloves
    0.40
     persecut
    0.40
    animous
    0.40
     consum
    0.40
    Activations Density 0.422%

    No Known Activations