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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20230
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    Explanations

    words related to physical harm or attack

    oai_token-act-pair · gpt-3.5-turbo

    instances of certain names and terms related to entities or characters

    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
    Not in Any Lists

    No Comments

    Negative Logits
    omen
    -0.80
    athlon
    -0.76
    ldon
    -0.75
    ples
    -0.75
     handshake
    -0.73
    etermination
    -0.73
    ally
    -0.73
    emet
    -0.72
    icrobial
    -0.72
    EStreamFrame
    -0.72
    POSITIVE LOGITS
     Canaver
    0.82
     Beng
    0.74
    glers
    0.74
     Sebast
    0.74
     ABE
    0.73
     Kuala
    0.70
     Sebastian
    0.69
     Pengu
    0.65
    Footnote
    0.65
     Ops
    0.64
    Activations Density 0.033%

    No Known Activations