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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. 6-RES-JB
    11. 4048
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    Explanations

    steps or procedures in technical instructions

    oai_token-act-pair · gpt-3.5-turbo

    step-by-step instructions or procedural text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inately
    -0.77
    ciating
    -0.76
    iqueness
    -0.72
     Unic
    -0.72
    itted
    -0.72
    eatures
    -0.71
    ruciating
    -0.70
    ãĥīãĥ©ãĤ´ãĥ³
    -0.69
    ortunately
    -0.69
     Pengu
    -0.69
    POSITIVE LOGITS
    Step
    1.02
     Steps
    0.96
    hens
    0.94
    daughter
    0.88
    hani
    0.88
     Flo
    0.83
     steps
    0.83
    dad
    0.83
    steps
    0.79
    hent
    0.79
    Activations Density 0.030%

    No Known Activations