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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. 3-RES-JB
    11. 475
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    Explanations

    words related to shock, surprise, or significant impact

    oai_token-act-pair · gpt-3.5-turbo

    the word "reeling" or related terms that indicate a state of shock or distress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iola
    -0.82
    alities
    -0.72
    ities
    -0.70
     Lucia
    -0.70
    imore
    -0.69
    ifiable
    -0.65
    ica
    -0.65
    hesis
    -0.65
    iator
    -0.64
    ifications
    -0.63
    POSITIVE LOGITS
    DIV
    0.88
     reel
    0.86
    ĸļ
    0.86
    hovah
    0.83
    UGE
    0.76
    ptin
    0.74
    ©¶æ¥µ
    0.72
    GGGGGGGG
    0.72
    theless
    0.71
    ONT
    0.71
    Activations Density 0.028%

    No Known Activations