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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. 11-RES-JB
    11. 14294
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    Explanations

    actions involving physical movement and activities

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ":"/
    -0.81
    ocalypse
    -0.69
    isi
    -0.68
    minster
    -0.66
    uffer
    -0.63
    umph
    -0.62
    ili
    -0.62
    rification
    -0.61
    gency
    -0.61
    tera
    -0.61
    POSITIVE LOGITS
     ate
    1.32
     drank
    1.32
     threw
    1.32
     drove
    1.29
     froze
    1.27
     took
    1.27
     gave
    1.27
     stole
    1.26
     blew
    1.25
     flew
    1.23
    Activations Density 0.323%

    No Known Activations