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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. 7186
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    Explanations

    text related to technical issues, medication, and possibly also cultural references

    oai_token-act-pair · gpt-3.5-turbo

    references to significant medical conditions or procedures

    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
     persistence
    -0.69
     scrim
    -0.69
     sacrific
    -0.68
     princ
    -0.67
     carrier
    -0.66
     booster
    -0.66
     stockp
    -0.65
     gad
    -0.65
     Alphabet
    -0.64
     pageant
    -0.64
    POSITIVE LOGITS
    Â
    1.53
    ±
    1.53
    £
    1.46
    âĤ¬
    1.41
    ´
    1.41
    «
    1.40
    ©
    1.37
    ¢
    1.34
    Ã
    1.33
    »
    1.31
    Activations Density 0.080%

    No Known Activations