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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. 1-RES-JB
    11. 22533
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    Explanations

    categories or modes within a system, often involving different types or options

    oai_token-act-pair · gpt-3.5-turbo

    terms related to categorization and modes of operation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ZE
    -0.76
    ×Ķ
    -0.72
    Phys
    -0.72
     Bulldogs
    -0.70
    Boy
    -0.68
    ×ŀ
    -0.67
    Operation
    -0.66
    Security
    -0.65
    ש
    -0.65
    ×
    -0.64
    POSITIVE LOGITS
    hops
    1.14
    poons
    1.13
    hips
    1.12
    paces
    1.08
    omething
    1.07
    etter
    1.06
    ettings
    1.01
    uggest
    0.93
    imilar
    0.92
    igmatic
    0.91
    Activations Density 0.053%

    No Known Activations