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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. 9433
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    Explanations

    proper nouns related to individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    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
    igate
    -0.88
    ORK
    -0.80
    orthy
    -0.74
    ______
    -0.71
    arez
    -0.69
    Americ
    -0.67
    SI
    -0.67
    igm
    -0.67
    _______
    -0.66
    xia
    -0.63
    POSITIVE LOGITS
     nonetheless
    1.64
     nevertheless
    1.41
     persists
    1.06
    etheless
    1.06
     retains
    1.02
     hasn
    1.00
     persisted
    0.98
     insists
    0.97
     doesn
    0.96
     lacks
    0.95
    Activations Density 0.605%

    No Known Activations