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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. 7-RES-JB
    6. 2409
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    Explanations

    strong verbs indicating action or movement

    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
    rama
    -0.72
    ifact
    -0.62
     Reilly
    -0.61
    Tokens
    -0.58
    ã
    -0.57
    egal
    -0.57
    omever
    -0.57
    iola
    -0.57
    udder
    -0.57
    ede
    -0.56
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.68
    Joined
    0.62
     humanoid
    0.57
    seys
    0.57
     AFB
    0.56
     awoken
    0.54
     resign
    0.54
     fled
    0.54
    \":
    0.52
     Isis
    0.51
    Activations Density 0.641%

    No Known Activations