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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. 8-RES-JB
    11. 20493
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    Explanations

    words related to movement or progression

    oai_token-act-pair · gpt-3.5-turbo

    words related to movement and progress

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.74
    oret
    -0.69
    cffff
    -0.66
    ateurs
    -0.65
    owment
    -0.65
    ancies
    -0.65
     Plain
    -0.64
    nown
    -0.62
    acular
    -0.61
    xual
    -0.61
    POSITIVE LOGITS
    step
    0.98
     pedal
    0.97
     slide
    0.83
     onward
    0.82
     heel
    0.81
    forward
    0.80
     forward
    0.78
    pull
    0.76
     downwards
    0.76
    Charge
    0.75
    Activations Density 0.392%

    No Known Activations