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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. 11-RES-JB
    11. 4164
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant events or critical actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .....
    -0.69
     Allaah
    -0.69
    ().
    -0.68
    .ãĢį
    -0.67
     Flavoring
    -0.67
    terday
    -0.67
    !.
    -0.65
    .......
    -0.64
    .<
    -0.64
     whilst
    -0.63
    POSITIVE LOGITS
     initial
    0.69
     newfound
    0.68
     latter
    0.65
     foregoing
    0.59
    incinn
    0.58
     setback
    0.56
     foothold
    0.55
     favorable
    0.54
     excess
    0.54
     unchecked
    0.53
    Activations Density 1.077%

    No Known Activations