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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. 1-RES-JB
    11. 18691
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    Explanations

    phrases that emphasize the contrast between two situations

    oai_token-act-pair · gpt-3.5-turbo

    the word "hardly" in various contexts to indicate low intensity or significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agate
    -0.85
    ividual
    -0.84
    entric
    -0.79
    ses
    -0.74
    spin
    -0.73
    ulative
    -0.72
    alez
    -0.68
    agus
    -0.68
    lace
    -0.66
    rouch
    -0.66
    POSITIVE LOGITS
     percept
    0.80
    Ń·
    0.77
     incons
    0.77
    icable
    0.74
     behold
    0.74
     distinguish
    0.68
     ausp
    0.67
    icably
    0.67
    ĸļ
    0.67
     afford
    0.67
    Activations Density 0.004%

    No Known Activations