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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 15134
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    Explanations

    technical terms or phrases related to sophistication, quality, or advanced classification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classification or grading systems

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

    No Comments

    Negative Logits
    ynt
    -0.87
    oleon
    -0.84
    ingle
    -0.81
    pid
    -0.79
    Stone
    -0.78
    pload
    -0.76
    Wil
    -0.76
    SN
    -0.75
    idental
    -0.75
    ypes
    -0.74
    POSITIVE LOGITS
     immersion
    0.74
     alternative
    0.72
     exotic
    0.71
     garbage
    0.70
     enterprise
    0.69
     entertainment
    0.69
     behavior
    0.68
     insanity
    0.68
     coercion
    0.67
     extreme
    0.67
    Activations Density 0.221%

    No Known Activations