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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. 2-RES-JB
    11. 23363
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    INDEX
    Explanations

    mentions of "Moto" and "Serie 1"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific brands or names, particularly related to Moto products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sweet
    -0.74
    iday
    -0.74
    itable
    -0.71
     Kling
    -0.71
    orescent
    -0.71
    speech
    -0.70
    alien
    -0.70
    tnc
    -0.70
    ockets
    -0.69
    sworth
    -0.69
    POSITIVE LOGITS
     Moto
    1.16
    GP
    1.04
     Maker
    0.85
     lapt
    0.85
     Racer
    0.80
    oslav
    0.78
    Maker
    0.77
     contrace
    0.77
     Mods
    0.74
    Lens
    0.71
    Activations Density 0.007%

    No Known Activations