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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. 7-RES-JB
    11. 3803
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    Explanations

    indoor locations or activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to indoor environments and cultivation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pedia
    -0.95
    lance
    -0.87
    vernment
    -0.80
    inances
    -0.80
    erk
    -0.76
    aku
    -0.74
    gey
    -0.72
    dinand
    -0.69
    ike
    -0.69
    zsche
    -0.69
    POSITIVE LOGITS
    ULTS
    0.87
    uart
    0.79
    Constructed
    0.75
    âĶĢâĶĢâĶĢâĶĢ
    0.74
    chio
    0.72
    ories
    0.71
    ãĤ¬
    0.70
    orage
    0.70
    882
    0.69
    598
    0.69
    Activations Density 0.078%

    No Known Activations