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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. 16436
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    Explanations

    geometric shapes and spatial arrangements

    oai_token-act-pair · gpt-3.5-turbo

    geometric shapes and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    audi
    -0.84
    tics
    -0.81
     understatement
    -0.79
    agonists
    -0.68
     reservations
    -0.67
     Parenthood
    -0.67
    eele
    -0.66
     sqor
    -0.65
     frustrations
    -0.65
     Taxes
    -0.63
    POSITIVE LOGITS
     resembling
    1.23
     consisting
    1.19
    like
    1.00
    shaped
    0.99
     shaped
    0.97
     containing
    0.97
     surrounded
    0.93
     composed
    0.90
     reminiscent
    0.88
     comprising
    0.86
    Activations Density 0.378%

    No Known Activations