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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. 15691
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    oai_token-act-pair · gpt-3.5-turbo

    specific alphanumeric sequences or identifiers

    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
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    No Comments

    Negative Logits
     scrut
    -0.81
    etheless
    -0.75
    puting
    -0.64
     arrang
    -0.63
    urances
    -0.61
     mathemat
    -0.60
    represented
    -0.60
    theless
    -0.60
    conservancy
    -0.58
    athered
    -0.58
    POSITIVE LOGITS
     —
    1.02
    Jr
    0.91
     pic
    0.85
    &
    0.76
    âĢ
    0.76
     CrossRef
    0.76
    uez
    0.73
     ï
    0.72
     âĢ
    0.72
    <|endoftext|>
    0.71
    Activations Density 0.040%

    No Known Activations