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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. 6174
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    Explanations

    words related to negative connotations, criticism, or derogatory language

    oai_token-act-pair · gpt-3.5-turbo

    words related to meaning and interpretations of actions or statements

    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
    è¦ļéĨĴ
    -0.72
    ideo
    -0.71
    Witness
    -0.69
    ãĥīãĥ©ãĤ´ãĥ³
    -0.67
     Blaz
    -0.66
    Miller
    -0.66
     GEAR
    -0.65
     Jail
    -0.65
     Mesa
    -0.64
     Hurricanes
    -0.64
    POSITIVE LOGITS
    aning
    1.03
    roth
    0.82
    roman
    0.82
    atos
    0.78
    rowth
    0.75
    theless
    0.75
    etheless
    0.75
    awan
    0.74
    onymous
    0.73
     effic
    0.72
    Activations Density 0.010%

    No Known Activations