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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. 13454
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    Explanations

    the name "Joe" or variations of it within the text

    oai_token-act-pair · gpt-3.5-turbo

    repetitive character patterns in words

    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
    */(
    -0.77
    medium
    -0.70
    dimension
    -0.66
     à¨
    -0.65
    dayName
    -0.63
     minorities
    -0.59
    displayText
    -0.59
     Sabha
    -0.59
    rations
    -0.58
    crim
    -0.58
    POSITIVE LOGITS
    oe
    1.33
    zzi
    0.94
    ppel
    0.87
    lein
    0.86
    uth
    0.86
    zy
    0.85
    lete
    0.82
    chnology
    0.82
    zzo
    0.82
    cean
    0.81
    Activations Density 0.008%

    No Known Activations