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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. 3-RES-JB
    11. 24014
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    Explanations

    grammatical patterns and errors

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to grammar and linguistic structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alos
    -0.75
    ortium
    -0.69
     Faster
    -0.68
    buck
    -0.68
    Chuck
    -0.67
    cedented
    -0.66
    ETS
    -0.66
    asus
    -0.66
    internet
    -0.66
    vier
    -0.65
    POSITIVE LOGITS
    ized
    0.86
    ities
    0.86
     realities
    0.84
     warfare
    0.83
    ity
    0.81
     representations
    0.81
     qualities
    0.80
    ization
    0.78
     material
    0.76
    izing
    0.76
    Activations Density 0.079%

    No Known Activations