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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. 3-RES-JB
    11. 1947
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    INDEX
    Explanations

    mentions of giant objects or creatures

    oai_token-act-pair · gpt-3.5-turbo

    references to "giant" entities or objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrinth
    -0.89
    iggins
    -0.87
    anwhile
    -0.83
    rences
    -0.82
    endment
    -0.80
    pai
    -0.78
    arcity
    -0.78
    idency
    -0.78
    alth
    -0.78
    qi
    -0.78
    POSITIVE LOGITS
     squid
    0.99
     chunk
    0.87
     elephant
    0.84
     gorilla
    0.83
     leap
    0.82
    gest
    0.81
     penis
    0.79
     turtle
    0.79
     monster
    0.78
     leaps
    0.78
    Activations Density 0.014%

    No Known Activations