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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. 10215
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    Explanations

    words related to actions of placing, positioning, or establishing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around the act of laying or establishing something

    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
    ilation
    -0.73
    iles
    -0.69
    ively
    -0.69
    ernaut
    -0.66
     Russo
    -0.66
    antly
    -0.65
     Ack
    -0.65
     Holo
    -0.64
    ities
    -0.62
    oso
    -0.60
    POSITIVE LOGITS
     groundwork
    1.02
     siege
    0.84
    \\\\\\\\
    0.82
    back
    0.76
    mination
    0.75
     dormant
    0.74
     bare
    0.73
    flat
    0.72
    sheets
    0.72
     foundations
    0.71
    Activations Density 0.034%

    No Known Activations