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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. 3-RES-JB
    11. 16686
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    Explanations

    proper nouns such as names of people, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the substring 'ford'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ntil
    -0.87
     exha
    -0.76
    Magikarp
    -0.75
    ß
    -0.71
    ccording
    -0.71
     srf
    -0.71
     skelet
    -0.71
     psychiat
    -0.70
     tremend
    -0.70
     therap
    -0.69
    POSITIVE LOGITS
    shire
    1.56
    ford
    1.05
    hurst
    1.01
    wall
    1.00
    ness
    0.93
    leigh
    0.87
    vill
    0.86
     Mell
    0.84
    chester
    0.83
    land
    0.80
    Activations Density 0.015%

    No Known Activations