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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. 4253
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    Explanations

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    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
     bitters
    -0.60
     epit
    -0.56
     fundament
    -0.56
     ensued
    -0.56
     param
    -0.55
    etically
    -0.53
    rane
    -0.53
     follows
    -0.52
     Chaser
    -0.52
    },
    -0.52
    POSITIVE LOGITS
     waiting
    0.86
     lookout
    0.84
     preparing
    0.78
     awaiting
    0.78
     somewhere
    0.77
     ready
    0.75
     photograp
    0.75
     discussing
    0.74
     watching
    0.72
     listening
    0.71
    Activations Density 0.442%

    No Known Activations