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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. 4-RES-JB
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    Explanations

    adjectives describing negative or problematic situations or qualities

    oai_token-act-pair · gpt-3.5-turbo

    negative adjectives describing various circumstances or situations

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

    No Comments

    Negative Logits
    lees
    -0.81
    hops
    -0.79
    events
    -0.77
    assies
    -0.74
    rooms
    -0.74
    ammers
    -0.72
    sites
    -0.70
    stories
    -0.69
    ernels
    -0.68
    rants
    -0.67
    POSITIVE LOGITS
     perspective
    0.77
     standpoint
    0.76
     piece
    0.76
     version
    0.75
     solution
    0.74
     regimen
    0.72
     dose
    0.71
     outbreak
    0.70
     entity
    0.70
     situation
    0.70
    Activations Density 0.703%

    No Known Activations