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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. 10-RES-JB
    11. 6356
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    Explanations

    instances of people being physically moved or taken somewhere, often against their will

    oai_token-act-pair · gpt-3.5-turbo

    actions involving forceful movement or transportation of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cannabin
    -0.65
     Effective
    -0.63
     Siber
    -0.63
    ITNESS
    -0.61
    acts
    -0.60
    orum
    -0.59
     rs
    -0.59
    iciency
    -0.59
     insurg
    -0.58
    idence
    -0.57
    POSITIVE LOGITS
     away
    1.19
     awa
    1.08
     overboard
    1.04
     aside
    1.03
     aback
    1.01
     ashore
    0.96
     into
    0.89
     hither
    0.86
     unconscious
    0.85
     handcuffed
    0.85
    Activations Density 0.122%

    No Known Activations