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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. 16159
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    Explanations

    words related to critical assessment or evaluation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the presentation of evidence and the raising of questions or doubts

    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
     perished
    -0.73
     sacrific
    -0.70
     contracted
    -0.69
     incompet
    -0.68
     mastered
    -0.68
     conquered
    -0.67
     incapable
    -0.66
    opathic
    -0.65
     invaded
    -0.64
     bombed
    -0.63
    POSITIVE LOGITS
     Questions
    0.82
    urther
    0.80
     suspicions
    0.78
    undown
    0.77
     clearer
    0.74
     clar
    0.73
    odox
    0.73
    Leaks
    0.72
     confirmation
    0.72
    legraph
    0.71
    Activations Density 0.300%

    No Known Activations