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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. 9-RES-JB
    11. 17694
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    Explanations

    references to sizes and measurements

    oai_token-act-pair · gpt-3.5-turbo

    questions and statements related to size and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     relapse
    -0.69
     Karma
    -0.68
     Advice
    -0.67
    efe
    -0.67
     Therapy
    -0.66
    aughed
    -0.65
    doctor
    -0.64
     adrenaline
    -0.64
    rique
    -0.63
     Dialogue
    -0.63
    POSITIVE LOGITS
     size
    1.55
     sizes
    1.52
    Size
    1.49
    sized
    1.44
     smaller
    1.41
    larg
    1.39
     sized
    1.39
    size
    1.38
     diameter
    1.36
     larger
    1.33
    Activations Density 0.661%

    No Known Activations