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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. 5228
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    Explanations

    adjectives followed by a noun phrase, particularly one suggesting a comparison or evaluation

    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
    ©¶æ¥µ
    -0.77
    phia
    -0.74
     teasp
    -0.70
    RAW
    -0.69
     ILCS
    -0.69
    ãĤ´ãĥ³
    -0.65
    ;;;;;;;;;;;;
    -0.64
    avin
    -0.63
    ãĥĥãĥĪ
    -0.62
    ï¸
    -0.61
    POSITIVE LOGITS
     than
    1.68
    than
    1.60
     Than
    1.21
    erous
    0.79
     emphasis
    0.68
    rab
    0.59
    ainment
    0.57
    lus
    0.57
     luck
    0.56
    ultz
    0.56
    Activations Density 0.323%

    No Known Activations