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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. 6-RES-JB
    11. 7753
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    Explanations

    mentions of specific locations, such as cities or organizations, especially within the context of news or events

    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases that include the abbreviation "L.A." (Los Angeles)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    »Ĵ
    -1.01
    =-=-
    -0.82
    ÙIJ
    -0.69
    merce
    -0.66
    Ħ¢
    -0.66
    -->
    -0.64
    CLASSIFIED
    -0.64
    -+-+
    -0.64
     conscience
    -0.63
     ausp
    -0.60
    POSITIVE LOGITS
    ounge
    0.85
    aptop
    0.83
    ateral
    0.82
    oyd
    0.72
    omez
    0.72
    ocating
    0.70
    ativity
    0.69
    uce
    0.69
    heed
    0.69
    ushing
    0.68
    Activations Density 0.047%

    No Known Activations