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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. 22029
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    Explanations

    phrases expressing opinions or desires

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing a desire for change or improvement

    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
    Below
    -0.75
    Incre
    -0.72
    noticed
    -0.65
    Sum
    -0.65
    Previously
    -0.64
    Dam
    -0.62
    ETA
    -0.61
    Buff
    -0.60
    Click
    -0.59
    conference
    -0.58
    POSITIVE LOGITS
     caut
    0.60
     deport
    0.60
    allery
    0.59
     pumps
    0.59
    anamo
    0.59
    gans
    0.58
     punish
    0.58
     âĢ¦"
    0.58
     rapists
    0.58
    ','
    0.57
    Activations Density 0.414%

    No Known Activations