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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. 1565
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    Explanations

    text related to criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to subcultures and social movements

    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
    ãģ¾
    -0.49
    appropriately
    -0.48
    ],"
    -0.46
    ',"
    -0.42
    ãĤĭ
    -0.42
    idth
    -0.41
    ãĤĮ
    -0.41
    *.
    -0.41
    $$$$
    -0.40
    ãĥ¼ãĥ«
    -0.40
    POSITIVE LOGITS
     however
    0.55
     meanwhile
    0.46
     moreover
    0.43
     also
    0.41
    asm
    0.41
     WATCHED
    0.41
     therefore
    0.41
    ickr
    0.40
     though
    0.39
     NETWORK
    0.38
    Activations Density 3.953%

    No Known Activations