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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. 8-RES-JB
    11. 11501
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    Explanations

    words related to physical harm or damage

    oai_token-act-pair · gpt-3.5-turbo

    words associated with distress and violence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Constructed
    -0.77
    ague
    -0.72
    ¿½
    -0.69
    Initialized
    -0.67
    ISION
    -0.66
    terday
    -0.66
     splend
    -0.63
     Pend
    -0.62
     halls
    -0.60
    IDENT
    -0.59
    POSITIVE LOGITS
    bing
    1.65
    ging
    1.46
    glers
    1.45
    gers
    1.42
    bler
    1.34
    bles
    1.26
    bers
    1.25
    bed
    1.24
    ged
    1.23
    bling
    1.22
    Activations Density 0.110%

    No Known Activations