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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. 2-RES-JB
    11. 565
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    Explanations

    the phrase "all kinds of" or simply "kinds"

    oai_token-act-pair · gpt-4-turbo

    various kinds of entities or items

    oai_token-act-pair · gpt-3.5-turbo

    the word "kinds" in various contexts, indicating a focus on categorization or classification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yer
    -0.71
    biz
    -0.66
    edia
    -0.64
    inated
    -0.63
    heid
    -0.62
    ITED
    -0.62
    LAN
    -0.61
    ANI
    -0.60
    ouston
    -0.60
    DS
    -0.60
    POSITIVE LOGITS
    etter
    1.06
    etting
    1.01
    ilege
    0.75
     Kind
    0.74
    pace
    0.72
    ername
    0.69
    igue
    0.68
    uggest
    0.68
     kinds
    0.68
    omething
    0.66
    Activations Density 0.011%

    No Known Activations