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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. 9-RES-JB
    11. 13244
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    Explanations

    verbs related to actions or behaviors involving making a change or causing an effect

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to promises or commitments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .):
    -0.62
    ¶
    -0.60
     acron
    -0.59
    ahime
    -0.58
     shuffle
    -0.57
     ré
    -0.57
     nominations
    -0.57
     âĵĺ
    -0.57
    :#
    -0.57
     introdu
    -0.56
    POSITIVE LOGITS
    rarily
    0.74
    ousands
    0.71
    ificantly
    0.70
    ãĥ¥
    0.69
    ugal
    0.69
    rican
    0.67
    entimes
    0.66
    illary
    0.66
    sic
    0.65
    omever
    0.64
    Activations Density 1.388%

    No Known Activations