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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. 3-RES-JB
    11. 21005
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    Explanations

    words related to imitation or deception

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of "faux" or imitation products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocating
    -0.74
    ISE
    -0.71
    ISC
    -0.70
    sheet
    -0.70
    anski
    -0.67
    wana
    -0.67
    ANN
    -0.66
    edient
    -0.65
    atform
    -0.65
    acco
    -0.65
    POSITIVE LOGITS
     pas
    1.31
    chal
    1.02
    pas
    0.93
    hua
    0.82
     faux
    0.81
    clair
    0.78
     cul
    0.77
    cule
    0.77
    olate
    0.75
    ured
    0.75
    Activations Density 0.022%

    No Known Activations