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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. 12567
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    Explanations

    phrases indicating continuation, transition, or progression

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to societal challenges and progress

    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
    cott
    -0.71
    agen
    -0.67
    enance
    -0.63
    kamp
    -0.63
    ves
    -0.62
    thood
    -0.62
    OWS
    -0.61
    £
    -0.61
    ç¥ŀ
    -0.60
    antly
    -0.59
    POSITIVE LOGITS
     besides
    0.88
     namely
    0.80
     viz
    0.79
     ranging
    0.76
    EStreamFrame
    0.75
     moreover
    0.75
     maybe
    0.72
     none
    0.72
     nowhere
    0.70
    maybe
    0.69
    Activations Density 0.445%

    No Known Activations