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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. 7-RES-JB
    11. 9612
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    Explanations

    specific dates mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.75
    iour
    -0.73
    opian
    -0.72
    oard
    -0.72
    yrus
    -0.68
    rums
    -0.66
    ersen
    -0.66
    zag
    -0.66
    arding
    -0.63
    uce
    -0.63
    POSITIVE LOGITS
     Unknown
    0.98
     TBA
    0.89
     TBD
    0.82
     Ong
    0.82
    âĢİ
    0.80
     unknown
    0.80
    ="
    0.78
     Description
    0.78
     Details
    0.72
     Approximately
    0.71
    Activations Density 0.239%

    No Known Activations