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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. 4300
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    Explanations

    references to the term "biodegradable."

    oai_token-act-pair · gpt-3.5-turbo
    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
    hips
    -0.80
    soDeliveryDate
    -0.80
    rike
    -0.76
    idav
    -0.71
     Dragonbound
    -0.68
     "$:/
    -0.66
    igham
    -0.66
    iewicz
    -0.66
    quished
    -0.66
    ãĥ£
    -0.65
    POSITIVE LOGITS
    velop
    0.98
    grad
    0.92
    lete
    0.86
    gradation
    0.84
    gran
    0.84
    oxy
    0.79
    vous
    0.78
    ga
    0.77
    jing
    0.77
    ode
    0.76
    Activations Density 0.063%

    No Known Activations