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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. 22636
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to specific individuals or topics within a context

    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
    conservancy
    -0.82
     psychiat
    -0.77
    comings
    -0.71
    imen
    -0.69
    ucks
    -0.68
    kens
    -0.68
    olicy
    -0.67
     Mub
    -0.65
     intervention
    -0.64
    peace
    -0.64
    POSITIVE LOGITS
    ilar
    0.86
    0000000
    0.82
    IAL
    0.81
    ated
    0.81
    ATES
    0.78
    ////////////////
    0.76
    ilage
    0.76
    iar
    0.72
    RECT
    0.72
    ATED
    0.72
    Activations Density 0.020%

    No Known Activations