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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. 18154
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    Explanations

    phrases related to actions involving disposing, selling, and vacating

    oai_token-act-pair · gpt-3.5-turbo

    actions related to disposal, selling, and recycling of items

    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
    orney
    -0.64
    anguage
    -0.63
    lake
    -0.61
    step
    -0.61
    oly
    -0.61
    lez
    -0.60
    equal
    -0.59
    ggle
    -0.57
    orama
    -0.57
    iday
    -0.57
    POSITIVE LOGITS
     unused
    1.00
     belongings
    0.95
     unwanted
    0.89
     possessions
    0.85
     excess
    0.83
     confiscated
    0.81
     holdings
    0.79
     accumulated
    0.78
     offending
    0.77
     carc
    0.75
    Activations Density 0.381%

    No Known Activations