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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. 10-RES-JB
    11. 18878
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    INDEX
    Explanations

    phrases related to future actions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "will have."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Els
    -0.68
    ohm
    -0.67
    Trivia
    -0.67
    alias
    -0.63
    arta
    -0.58
    oit
    -0.58
    note
    -0.57
    [/
    -0.57
    phi
    -0.57
    rift
    -0.57
    POSITIVE LOGITS
     difficulty
    0.97
     recourse
    0.96
     plenty
    0.96
     ample
    0.90
     trouble
    0.90
     fewer
    0.89
     gone
    0.83
     been
    0.82
     gotten
    0.80
     nightmares
    0.76
    Activations Density 0.088%

    No Known Activations