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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. 9-RES-JB
    11. 5002
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    Explanations

    phrases related to organized marches or protests

    oai_token-act-pair · gpt-3.5-turbo

    references to marches or protests

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terness
    -0.74
     bite
    -0.71
    folios
    -0.67
    IOR
    -0.67
     vacancy
    -0.65
    omial
    -0.64
    nia
    -0.63
    eger
    -0.63
    iasis
    -0.60
     Vul
    -0.60
    POSITIVE LOGITS
     marching
    0.96
    antry
    0.95
     marches
    0.95
     march
    0.91
     marched
    0.89
    oppable
    0.84
    abouts
    0.81
    itzer
    0.80
     toward
    0.78
     towards
    0.74
    Activations Density 0.040%

    No Known Activations