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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. 6181
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    Explanations

    technical terms related to photography and cars, possibly related to a product announcement or review

    oai_token-act-pair · gpt-3.5-turbo

    names and brands associated with technology and automotive industries

    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
    icably
    -0.89
    ischer
    -0.81
    é¾įå
    -0.75
    ews
    -0.74
    ITNESS
    -0.71
    oway
    -0.70
     Leilan
    -0.70
    ģĸ
    -0.70
    azar
    -0.70
    urst
    -0.69
    POSITIVE LOGITS
    ting
    0.89
    ters
    0.87
    gments
    0.82
    Pixel
    0.80
    hei
    0.78
    XY
    0.76
    Maker
    0.74
    clude
    0.73
    wit
    0.72
    mas
    0.72
    Activations Density 0.012%

    No Known Activations