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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. 1-RES-JB
    6. 15123
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    Explanations

    terms related to basic concepts or foundational elements within text

    oai_token-act-pair · gpt-3.5-turbo

    the word "basically" and its repeated usage in different contexts

    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
    Ey
    -0.74
    IDA
    -0.71
    acity
    -0.71
    yd
    -0.68
    rer
    -0.67
    yth
    -0.66
    imb
    -0.65
    lest
    -0.64
    icip
    -0.64
    yer
    -0.64
    POSITIVE LOGITS
     consisted
    0.76
     basically
    0.76
    ©¶æ¥µ
    0.75
    igslist
    0.73
    ength
    0.72
     princ
    0.71
     defin
    0.70
     consists
    0.70
     consist
    0.70
    rency
    0.70
    Activations Density 0.013%

    No Known Activations