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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. 2-RES-JB
    11. 6127
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    Explanations

    words related to online chatting or conversations

    oai_token-act-pair · gpt-3.5-turbo

    instances related to chat and discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    engeance
    -0.72
    uilt
    -0.71
     Flags
    -0.64
     homeland
    -0.63
    ©¶æ
    -0.63
    enses
    -0.63
    hester
    -0.63
    cember
    -0.60
    ukong
    -0.60
    CVE
    -0.60
    POSITIVE LOGITS
    anooga
    0.98
     chats
    0.98
     chat
    0.96
    room
    0.92
    rooms
    0.88
    Talk
    0.86
    thia
    0.81
     banter
    0.81
    caster
    0.80
    table
    0.78
    Activations Density 0.009%

    No Known Activations