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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
    11. 9635
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    Explanations

    words related to rejecting or shunning something

    oai_token-act-pair · gpt-3.5-turbo

    words related to avoidance or rejection

    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
     arrang
    -0.70
     estab
    -0.68
    otype
    -0.66
    podcast
    -0.64
    ature
    -0.64
    odic
    -0.62
    ussen
    -0.61
    ysc
    -0.60
    ingham
    -0.60
    odore
    -0.58
    POSITIVE LOGITS
    ned
    0.98
    forts
    0.81
    shine
    0.81
     Canaver
    0.75
    ff
    0.74
    rely
    0.70
    ffer
    0.70
    ulkan
    0.70
     Phar
    0.70
    chal
    0.70
    Activations Density 0.034%

    No Known Activations