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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 16197
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    Explanations

    phrases related to abstract concepts and philosophical discussions

    oai_token-act-pair · gpt-3.5-turbo

    unusual or non-standard characters and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     favourite
    -0.80
     favourites
    -0.69
     Alpine
    -0.67
     PI
    -0.65
     behavioural
    -0.63
     defence
    -0.61
     QC
    -0.59
     PF
    -0.58
    PG
    -0.57
    QL
    -0.57
    POSITIVE LOGITS
     âĢķ
    4.28
    âĢķ
    2.31
    ––
    1.58
     âĶ
    1.42
    âĶĢ
    1.38
    âĶĢâĶĢ
    1.26
     —
    1.25
     --
    1.18
    ADVERTISEMENT
    1.05
     âĶľ
    1.04
    Activations Density 0.008%

    No Known Activations