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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8672
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    Explanations

    personal pronouns and verbs indicating action

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.74
    IOR
    -0.70
     departing
    -0.65
     Option
    -0.65
     Instead
    -0.64
    lihood
    -0.64
    uates
    -0.63
    Instead
    -0.62
    wik
    -0.61
    efficients
    -0.60
    POSITIVE LOGITS
    've
    1.00
    're
    0.99
     ain
    0.86
    'll
    0.82
     know
    0.81
     swear
    0.80
     stink
    0.76
    'm
    0.75
     drank
    0.75
     don
    0.74
    Activations Density 0.225%

    No Known Activations