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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. 9-RES-JB
    11. 2439
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    Explanations

    mentions of things related to the past or old items

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.82
    rer
    -0.77
    rawdownloadcloneembedreportprint
    -0.74
    Executive
    -0.74
    aminer
    -0.74
    ommod
    -0.72
    achu
    -0.70
    plementation
    -0.70
    Ĥİ
    -0.70
    overe
    -0.69
    POSITIVE LOGITS
     fashioned
    1.61
    school
    1.15
    fashioned
    1.13
     timers
    1.09
    timer
    1.01
     standby
    1.00
     school
    0.92
     Testament
    0.91
    rums
    0.90
     stomp
    0.80
    Activations Density 0.053%

    No Known Activations