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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. 1-RES-JB
    11. 2279
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    Explanations

    words related to specific external or environmental conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to various conditions, especially in contexts that describe circumstances or environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.91
    sub
    -0.72
     Tycoon
    -0.71
    ãĤ¨ãĥ«
    -0.66
    umbn
    -0.65
     BUS
    -0.64
     GN
    -0.64
     Nas
    -0.63
    des
    -0.61
    rious
    -0.61
    POSITIVE LOGITS
     conditions
    1.36
     Conditions
    1.19
     condition
    1.02
    pring
    0.91
    terday
    0.89
     worsened
    0.87
     Condition
    0.83
    condition
    0.81
     conditioned
    0.80
    cale
    0.80
    Activations Density 0.014%

    No Known Activations