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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5740
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    Explanations

    phrases related to technical instructions or procedures, particularly involving interconnected systems and specific actions or steps to be taken

    oai_token-act-pair · gpt-3.5-turbo

    terms related to connectivity and significant issues in socio-political contexts

    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
    itect
    -0.71
    minster
    -0.65
    mble
    -0.64
    rette
    -0.63
    URA
    -0.62
    Behind
    -0.62
    odder
    -0.62
    nces
    -0.62
    ģĸ
    -0.61
    leanor
    -0.61
    POSITIVE LOGITS
    hang
    0.92
    arching
    0.78
     hump
    0.78
    rack
    0.76
    adows
    0.75
     fences
    0.75
     objections
    0.73
    reaching
    0.73
     millennia
    0.71
     weekend
    0.69
    Activations Density 0.194%

    No Known Activations