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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. 7-RES-JB
    11. 14439
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    Explanations

    phrases related to quantifying and measuring the degree or amount of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate degrees or measures of influence or impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verbs
    -0.78
    byte
    -0.74
    pton
    -0.74
    wana
    -0.70
    wark
    -0.70
    ivas
    -0.69
    cair
    -0.67
    annon
    -0.66
    Interstitial
    -0.66
    ky
    -0.65
    POSITIVE LOGITS
     extent
    0.90
    conom
    0.83
    essment
    0.76
    ments
    0.74
    rest
    0.74
    aler
    0.72
     amounts
    0.71
     practicable
    0.70
    iary
    0.67
    ment
    0.67
    Activations Density 0.023%

    No Known Activations