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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. 9-RES-JB
    11. 2465
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     realise
    -0.65
     rumours
    -0.65
     behaviour
    -0.64
    ?).
    -0.62
     practise
    -0.62
     colours
    -0.61
     behaviours
    -0.60
     humour
    -0.60
     offence
    -0.60
     learnt
    -0.59
    POSITIVE LOGITS
     âĢķ
    0.76
    —
    0.67
     —
    0.64
    ––
    0.57
     squarely
    0.56
     extraordinarily
    0.55
     expansive
    0.54
     mobilized
    0.54
     broadly
    0.54
     favorably
    0.54
    Activations Density 1.512%

    No Known Activations