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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. 5874
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    Explanations

    phrases related to various abstract concepts or topics

    oai_token-act-pair · gpt-3.5-turbo

    references to various unspecified concepts or topics

    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
    geon
    -0.75
    iary
    -0.73
    arov
    -0.70
    gha
    -0.67
    aro
    -0.67
    onz
    -0.67
    oux
    -0.65
    thro
    -0.65
    asaki
    -0.64
    arl
    -0.64
    POSITIVE LOGITS
     happening
    1.13
     happen
    1.13
     happened
    0.92
     pertaining
    0.81
     like
    0.81
     happ
    0.77
     happens
    0.76
     else
    0.72
    iverse
    0.72
    cale
    0.72
    Activations Density 0.073%

    No Known Activations