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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. 6-RES-JB
    11. 9916
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    Explanations

    words related to negative judgements or criticisms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letters "sh" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ajax
    -0.82
    OLOGY
    -0.78
     Luther
    -0.72
     Leth
    -0.71
     Reach
    -0.71
    DragonMagazine
    -0.70
    ocene
    -0.70
    ãģĨ
    -0.68
     è£ıè
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.67
    POSITIVE LOGITS
    atters
    1.29
    ippers
    1.20
    apesh
    1.19
    ackle
    1.15
    attering
    1.14
    anks
    1.13
    oddy
    1.12
    ipper
    1.12
    ipped
    1.12
    ipping
    1.11
    Activations Density 0.017%

    No Known Activations