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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. 11-RES-JB
    11. 473
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    Explanations

    descriptions of numerical data in the form of lists or sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical information or statistics related to entities and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oris
    -0.65
    ROR
    -0.65
    catentry
    -0.61
    ealous
    -0.59
    conom
    -0.58
     ILCS
    -0.58
    HCR
    -0.55
    soType
    -0.55
    ARCH
    -0.54
    \\
    -0.54
    POSITIVE LOGITS
     two
    1.69
     three
    1.66
    three
    1.60
    two
    1.60
     four
    1.59
     one
    1.53
     five
    1.44
     six
    1.37
    five
    1.36
    four
    1.36
    Activations Density 0.575%

    No Known Activations