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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. 7-RES-JB
    11. 4035
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    Explanations

    verbs in imperative form

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate inevitability or necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.78
     sqor
    -0.76
     Stain
    -0.76
    aucuses
    -0.68
     Pupp
    -0.62
    achine
    -0.62
    antry
    -0.62
     Timeline
    -0.61
     Moose
    -0.61
    anova
    -0.61
    POSITIVE LOGITS
     reckoned
    0.98
     seen
    0.96
    ige
    0.90
     judged
    0.89
     interpreted
    0.84
     eaten
    0.83
     viewed
    0.83
     replaced
    0.83
     borne
    0.83
     done
    0.82
    Activations Density 0.063%

    No Known Activations