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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. 0-RES-JB
    11. 11323
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    Explanations

    words related to obstacles or hindrances

    oai_token-act-pair · gpt-3.5-turbo

    words related to obstacles or limitations

    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
     translator
    -0.78
     reset
    -0.70
     portal
    -0.68
     exp
    -0.68
     Moody
    -0.67
     operator
    -0.66
     trailer
    -0.63
     choice
    -0.62
     meeting
    -0.61
     transl
    -0.61
    POSITIVE LOGITS
    iments
    4.52
    imental
    2.30
    iences
    1.97
    iment
    1.83
    imentary
    1.61
    ienced
    1.44
    iencies
    1.28
    ieties
    1.20
    imens
    1.17
    ENTS
    1.10
    Activations Density 0.028%

    No Known Activations