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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. 5-RES-JB
    6. 13807
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    Explanations

    verbs indicating continuation or monitoring of a situation or trend

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases expressing hypothetical scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃįÃį
    -0.75
     ILCS
    -0.69
    Afee
    -0.65
     Whitman
    -0.64
    éĹ
    -0.63
    ãĥķ
    -0.63
    aphael
    -0.61
    senal
    -0.61
     Sod
    -0.59
    renheit
    -0.58
    POSITIVE LOGITS
     sufficiently
    0.79
     succeed
    0.76
     someday
    0.74
     enough
    0.74
     succeeds
    0.66
     properly
    0.64
    eret
    0.64
     tomorrow
    0.63
     correctly
    0.62
     fails
    0.62
    Activations Density 0.612%

    No Known Activations