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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. 4367
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    Explanations

    phrases related to fixing or solving problems

    oai_token-act-pair · gpt-3.5-turbo

    words related to "plunder" or financial exploitation

    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
    âĸ¬
    -0.84
    PRES
    -0.83
    hyde
    -0.80
    âĸ¬âĸ¬
    -0.77
    BOOK
    -0.75
    VICE
    -0.73
    Madison
    -0.73
     Masters
    -0.71
    SPONSORED
    -0.69
     Apprentice
    -0.69
    POSITIVE LOGITS
    aques
    1.19
    atter
    1.18
    umber
    1.13
    ump
    1.11
    acent
    1.11
    ipl
    1.06
    umb
    1.06
    ipp
    1.05
    atters
    1.05
    iers
    1.04
    Activations Density 0.014%

    No Known Activations