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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. 10-RES-JB
    11. 8406
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    contexts where different elements are combined to achieve a specific outcome or result

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     impunity
    -0.68
    ©¶æ¥µ
    -0.66
    itary
    -0.62
    elist
    -0.56
    Ĭ
    -0.55
    nor
    -0.53
    hover
    -0.53
    hung
    -0.53
     unmarked
    -0.52
    redo
    -0.51
    POSITIVE LOGITS
     into
    1.08
     with
    1.08
     together
    1.04
    with
    0.86
     disparate
    0.86
     withd
    0.85
     onto
    0.85
    into
    0.84
     seamlessly
    0.80
     dots
    0.80
    Activations Density 0.361%

    No Known Activations