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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. 6-RES-JB
    11. 314
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    INDEX
    Explanations

    instructions or steps in a process

    oai_token-act-pair · gpt-3.5-turbo

    references to specific actions or instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Politics
    -0.78
    politics
    -0.66
     Econom
    -0.65
    cipled
    -0.65
    democracy
    -0.63
    Political
    -0.62
    chool
    -0.62
    ostics
    -0.61
    encies
    -0.61
     Religion
    -0.61
    POSITIVE LOGITS
     prest
    0.86
     wearer
    0.75
     greeting
    0.74
     clipboard
    0.74
     piping
    0.71
     refill
    0.70
     convey
    0.70
     float
    0.68
     pad
    0.68
     blinding
    0.68
    Activations Density 1.553%

    No Known Activations