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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. 13371
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    Explanations

    mentions of mobile applications and their features

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific application or software

    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
     Halls
    -0.72
    hift
    -0.70
     Roads
    -0.67
    terday
    -0.66
     Memorial
    -0.66
     Deity
    -0.65
    theless
    -0.65
    ãģį
    -0.64
    EngineDebug
    -0.62
     Holiday
    -0.61
    POSITIVE LOGITS
    alach
    1.13
    ortion
    1.00
    legate
    0.91
    arel
    0.87
    ointment
    0.87
     app
    0.85
    rehens
    0.85
    rentices
    0.84
    reciation
    0.83
     launcher
    0.83
    Activations Density 0.017%

    No Known Activations