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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. 6389
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    Explanations

    text related to explanations or justifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate various explanations or justifications

    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
    yss
    -0.72
     puck
    -0.71
     Roller
    -0.70
     needle
    -0.68
     stocking
    -0.66
     rink
    -0.64
     Pixie
    -0.64
    esc
    -0.64
     franc
    -0.63
     heads
    -0.63
    POSITIVE LOGITS
     why
    1.03
     WHY
    0.93
    why
    0.92
     justifying
    0.87
    abl
    0.87
     reasons
    0.82
    asons
    0.80
    resy
    0.79
    cale
    0.77
    edIn
    0.76
    Activations Density 0.019%

    No Known Activations