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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. 6395
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    Explanations

    objects related to storage or containment

    oai_token-act-pair · gpt-3.5-turbo

    objects and items of various types and materials

    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
    rosso
    -0.77
     Balanced
    -0.67
     Nieto
    -0.66
    agonists
    -0.65
     demographics
    -0.64
    EGIN
    -0.64
     Samoa
    -0.63
     pairing
    -0.61
     resurg
    -0.61
     deviations
    -0.61
    POSITIVE LOGITS
    pipe
    1.01
    glass
    0.91
    maid
    0.90
    repair
    0.89
    acle
    0.88
     holder
    0.88
    tower
    0.86
     lid
    0.85
     enclosure
    0.84
    pole
    0.84
    Activations Density 0.461%

    No Known Activations