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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. 11-RES-JB
    11. 6740
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    Explanations

    words related to falsehoods or deceptive actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to falsehoods and misleading information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    hens
    -0.92
    cheon
    -0.76
    xual
    -0.75
    hem
    -0.75
     guiActiveUnfocused
    -0.74
    rador
    -0.71
    shed
    -0.69
    tha
    -0.69
    iet
    -0.68
    oké
    -0.66
    POSITIVE LOGITS
     positives
    1.21
     accusation
    1.05
     equival
    1.04
     dich
    1.02
     guiIcon
    0.99
     alarms
    0.97
     accusations
    0.95
     negatives
    0.93
     allegation
    0.92
     advertising
    0.88
    Activations Density 0.055%

    No Known Activations