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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. 12-RES-JB
    11. 3076
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    Explanations

    names of medical institutions and medical procedures

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to systems and processes related to surveillance and control

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ber
    -1.06
     Geh
    -0.81
    ricks
    -0.78
     Beth
    -0.74
     Roh
    -0.70
     Baker
    -0.69
     Borough
    -0.68
     Azerbai
    -0.68
    buck
    -0.68
     GER
    -0.66
    POSITIVE LOGITS
     X
    2.69
    X
    2.23
     x
    1.60
     XX
    1.57
     XV
    1.53
     Xen
    1.50
     Xavier
    1.49
    XM
    1.45
     XXX
    1.41
     XI
    1.40
    Activations Density 0.279%

    No Known Activations