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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. 10-RES-JB
    11. 21448
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    Explanations

    references to environmental conditions or chemical substances, particularly those related to solutions or solvents

    oai_token-act-pair · gpt-3.5-turbo

    references to solace or solutions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     special
    -0.65
     anat
    -0.64
     Kore
    -0.60
     specials
    -0.60
     shipments
    -0.56
     executive
    -0.56
     Ward
    -0.56
     extras
    -0.55
    eer
    -0.55
     wildfire
    -0.54
    POSITIVE LOGITS
    vable
    1.66
    itaire
    1.07
    utes
    1.05
    ips
    1.02
    uble
    1.00
    stice
    0.98
    ids
    0.96
    uted
    0.95
    itud
    0.95
    iability
    0.93
    Activations Density 0.023%

    No Known Activations