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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. 7-RES-JB
    11. 15369
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    Explanations

    phrases or sentences that involve the concept of understanding something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that relate to comprehension and understanding of situations or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.83
    iaries
    -0.83
    erity
    -0.80
    boro
    -0.75
    ngth
    -0.74
    ijah
    -0.74
    idates
    -0.71
     roundup
    -0.70
    rites
    -0.70
    orses
    -0.68
    POSITIVE LOGITS
     WHY
    0.94
     reasoning
    0.91
     workings
    0.90
    why
    0.90
     rationale
    0.87
     dynamics
    0.86
     meaning
    0.85
     concepts
    0.84
     nuances
    0.83
     logic
    0.83
    Activations Density 0.272%

    No Known Activations