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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    Explanations

    references to the word "Marsh" in the text

    oai_token-act-pair · gpt-3.5-turbo

    the term "Marsh" and its variations in different contexts

    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
     deaf
    -0.83
    wcs
    -0.73
     traged
    -0.73
     tense
    -0.72
     limp
    -0.68
    hedral
    -0.68
    abama
    -0.68
     reper
    -0.67
     vest
    -0.67
    lihood
    -0.64
    POSITIVE LOGITS
    mallow
    1.75
    alling
    1.05
     Marsh
    1.01
    adow
    1.01
    alls
    0.98
    aling
    0.91
    Marsh
    0.91
    als
    0.91
    land
    0.87
    dale
    0.85
    Activations Density 0.006%

    No Known Activations