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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. 6-RES-JB
    11. 7059
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clus
    -0.72
    fulness
    -0.69
    stood
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    ties
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    stra
    -0.64
     contingency
    -0.63
     omission
    -0.62
     horizont
    -0.61
     isolation
    -0.60
     invite
    -0.60
    POSITIVE LOGITS
     Continue
    0.90
     Advertisement
    0.90
    Credit
    0.84
    advertisement
    0.82
    Advertisement
    0.79
    credit
    0.76
    Skip
    0.75
    INGTON
    0.69
    Images
    0.66
    sburg
    0.66
    Activations Density 0.026%

    No Known Activations