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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. 2505
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    Explanations

    verbs related to perception and observation

    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
    phabet
    -0.88
    ciating
    -0.71
    osures
    -0.69
    epend
    -0.68
    ermanent
    -0.68
    ependence
    -0.65
    thood
    -0.64
    awaru
    -0.62
     experien
    -0.61
    arenthood
    -0.60
    POSITIVE LOGITS
    ibly
    0.69
     fit
    0.68
    edge
    0.65
    iencies
    0.62
     something
    0.61
     irony
    0.61
    wolves
    0.61
     weakness
    0.60
    saw
    0.59
    enance
    0.59
    Activations Density 0.301%

    No Known Activations