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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. 7507
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    Explanations

    phrases indicating a need for intervention or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of being called to a location or event, particularly related to police or emergencies

    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
    abal
    -0.72
     achieves
    -0.69
     Inher
    -0.66
     dominates
    -0.65
     absorbs
    -0.65
     earns
    -0.63
    bourg
    -0.63
     attracts
    -0.62
     depicts
    -0.62
     satisfies
    -0.62
    POSITIVE LOGITS
     hotline
    1.03
     bluff
    0.84
    mbuds
    0.79
    umbn
    0.77
    ERROR
    0.75
    riter
    0.71
    Champ
    0.70
     Duty
    0.69
    duty
    0.69
    Region
    0.68
    Activations Density 0.200%

    No Known Activations