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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. 7456
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    Explanations

    future tense verbs indicating an action or event that is about to happen

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anxiety and apprehension about future events

    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
     responsive
    -0.76
     Compass
    -0.76
     reassuring
    -0.76
    soType
    -0.75
     providing
    -0.75
     representations
    -0.74
     complementary
    -0.73
     informative
    -0.72
     assessing
    -0.71
     supervised
    -0.71
    POSITIVE LOGITS
     lose
    1.74
     perish
    1.55
     die
    1.46
     drown
    1.42
     stumble
    1.42
     starve
    1.40
     succumb
    1.40
     suffer
    1.38
     injure
    1.36
     ruin
    1.31
    Activations Density 0.349%

    No Known Activations