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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. 10915
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    Explanations

    phrases related to large quantities or significant amounts

    oai_token-act-pair · gpt-3.5-turbo

    references to significant quantities or amounts

    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
    ħĭ
    -0.87
    hest
    -0.81
    uer
    -0.74
    isters
    -0.70
    most
    -0.68
    iest
    -0.68
    ales
    -0.67
    ');
    -0.66
    ids
    -0.66
     nearest
    -0.65
    POSITIVE LOGITS
     dollars
    0.75
     resources
    0.73
     cardio
    0.70
     repet
    0.67
     calories
    0.66
    ITNESS
    0.63
     concentrated
    0.62
     pixels
    0.62
     adrenaline
    0.61
     DAM
    0.61
    Activations Density 0.153%

    No Known Activations