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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. 6-RES-JB
    11. 10681
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    INDEX
    Explanations

    expressions emphasizing intensity or a high degree of something

    oai_token-act-pair · gpt-3.5-turbo

    expressions that emphasize extreme situations or difficulty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sense
    -0.72
     Surveillance
    -0.70
    Random
    -0.70
    States
    -0.68
    Broad
    -0.67
    Dex
    -0.67
    Decre
    -0.67
    Vert
    -0.66
    IDS
    -0.65
    Cooldown
    -0.61
    POSITIVE LOGITS
    ishly
    1.15
    enic
    1.04
    aciously
    0.93
    urous
    0.92
    hole
    0.90
    oise
    0.90
    hound
    0.90
    ish
    0.88
    ibur
    0.87
    bender
    0.86
    Activations Density 0.017%

    No Known Activations