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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. 8-RES-JB
    11. 11201
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    Explanations

    phrases related to future events or plans

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future intentions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     TAMADRA
    -0.72
    tur
    -0.67
    lane
    -0.66
     Cycling
    -0.64
    alos
    -0.61
     Advice
    -0.61
     Parables
    -0.60
    Tips
    -0.60
    pill
    -0.60
     Emblem
    -0.60
    POSITIVE LOGITS
    Thumbnail
    0.68
    Beg
    0.67
    ////
    0.65
    kees
    0.64
    ///
    0.64
    NULL
    0.63
     TBD
    0.63
    iti
    0.62
    LLOW
    0.61
    INC
    0.61
    Activations Density 0.074%

    No Known Activations