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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
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    Explanations

    adjectives describing insufficiency or falling below expectations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "short" in various contexts indicating deficiencies or failures to meet expectations

    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
    ILLE
    -0.82
    GAN
    -0.68
    Gener
    -0.68
    IAN
    -0.66
    IRO
    -0.64
    ITAL
    -0.64
    risome
    -0.61
    itational
    -0.61
    Train
    -0.60
     Coordinator
    -0.59
    POSITIVE LOGITS
    sighted
    1.21
    ening
    0.98
    falls
    0.96
    lived
    0.95
    sword
    0.90
    leaf
    0.89
    wind
    0.88
    short
    0.88
    eners
    0.87
    ened
    0.85
    Activations Density 0.018%

    No Known Activations