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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. 9916
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    Explanations

    phrases related to financial transactions or business settings

    oai_token-act-pair · gpt-3.5-turbo

    consistent use of punctuation in lists or series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    atives
    -0.85
    nces
    -0.84
    abouts
    -0.82
    eners
    -0.76
    lees
    -0.74
    ernels
    -0.74
    flows
    -0.71
    usions
    -0.69
    xes
    -0.68
     Accounts
    -0.68
    POSITIVE LOGITS
     preferably
    0.96
     regardless
    0.88
     or
    0.86
     albeit
    0.84
     poem
    0.83
     irrespective
    0.83
     etc
    0.82
     whereas
    0.81
     photograph
    0.80
     whether
    0.79
    Activations Density 0.250%

    No Known Activations