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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. 1-RES-JB
    11. 5486
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    Explanations

    phrases within single quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    instances of quoted speech or dialogue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avorite
    -0.88
    âĹ¼
    -0.81
    nown
    -0.81
     conclud
    -0.67
     favor
    -0.64
     slaying
    -0.63
     Broadcasting
    -0.62
     ..............
    -0.61
     infringing
    -0.61
     destro
    -0.61
    POSITIVE LOGITS
     '[
    1.10
    Interstitial
    1.05
    tis
    1.00
     ',
    1.00
    cause
    0.95
    taboola
    0.95
    til
    0.95
    -'
    0.93
    neath
    0.93
    Mech
    0.90
    Activations Density 0.029%

    No Known Activations