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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. 24366
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    Explanations

    phrases indicating alignment or conformity with a particular standard or expectation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating alignment or consistency with policies or positions

    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
    quer
    -0.79
    chat
    -0.70
    ole
    -0.66
    eware
    -0.65
    lost
    -0.65
    gging
    -0.65
    mail
    -0.63
    du
    -0.62
    numbered
    -0.62
    ond
    -0.61
    POSITIVE LOGITS
     sentiments
    0.79
    lihood
    0.76
     regard
    0.76
     observations
    0.76
     expectations
    0.74
     ideals
    0.74
     tradition
    0.73
     regards
    0.72
     recommendations
    0.71
     intentions
    0.71
    Activations Density 0.086%

    No Known Activations