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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. 23867
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    Explanations

    phrases related to actions or intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negation or the inability to perform an action

    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
    cius
    -0.85
    Must
    -0.76
    edged
    -0.72
    staking
    -0.65
    KNOWN
    -0.65
    JM
    -0.64
    MpServer
    -0.63
    Disclaimer
    -0.62
    must
    -0.61
    verbs
    -0.61
    POSITIVE LOGITS
     tolerate
    1.17
     anymore
    1.11
     bother
    1.05
     EVER
    0.99
     relent
    0.97
     bud
    0.94
     anywhere
    0.94
     anytime
    0.94
     necessarily
    0.91
     condone
    0.87
    Activations Density 0.139%

    No Known Activations