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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. 1654
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    Explanations

    entities related to financial or legal matters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific military or government programs and contracts

    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
    ĸļ
    -0.93
     Subtle
    -0.81
    ãĤ´ãĥ³
    -0.75
     ______
    -0.74
     pandemonium
    -0.73
     karma
    -0.72
     captcha
    -0.70
    EStream
    -0.70
     Chocobo
    -0.70
     somew
    -0.69
    POSITIVE LOGITS
    CS
    1.35
    CA
    1.29
    SA
    1.25
    RC
    1.23
    CP
    1.22
    DP
    1.17
    SE
    1.17
    HS
    1.16
    NP
    1.16
    ISA
    1.16
    Activations Density 0.321%

    No Known Activations