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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. 1-RES-JB
    11. 23174
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    Explanations

    mathematical equations, possibly related to sports scores

    oai_token-act-pair · gpt-3.5-turbo

    references to various cities and location-based statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osate
    -0.60
     comput
    -0.50
     normative
    -0.49
     administr
    -0.49
    ascript
    -0.48
     Arbit
    -0.47
    ophon
    -0.47
     synt
    -0.47
     vessels
    -0.46
    orno
    -0.46
    POSITIVE LOGITS
    iverpool
    0.55
     Akron
    0.54
     Stadium
    0.53
     kickoff
    0.51
    æ©
    0.49
     Derby
    0.48
     berth
    0.48
     Daytona
    0.48
     derby
    0.47
     Alps
    0.46
    Activations Density 4.930%

    No Known Activations