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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. 2581
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    names of people or characters

    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
    etheless
    -0.64
     costing
    -0.64
     sensitive
    -0.63
    âĶĢâĶĢ
    -0.60
     unres
    -0.59
    merce
    -0.58
     sort
    -0.58
     disguise
    -0.57
     override
    -0.57
     secondary
    -0.57
    POSITIVE LOGITS
    ona
    0.81
    udos
    0.78
    inda
    0.77
    anya
    0.76
    isha
    0.75
    wyn
    0.74
    ilyn
    0.73
    Eye
    0.73
    Fest
    0.71
    iona
    0.70
    Activations Density 0.529%

    No Known Activations