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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. 4-RES-JB
    11. 15859
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    Explanations

    mentions of falsehood or deceit

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "false" in relation to misleading or deceptive information

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

    No Comments

    Negative Logits
    hens
    -1.04
     guiActiveUnfocused
    -0.95
    hetti
    -0.93
    ODY
    -0.79
    mun
    -0.79
    asio
    -0.78
    imen
    -0.78
    aldo
    -0.76
    ajo
    -0.76
    APTER
    -0.75
    POSITIVE LOGITS
     positives
    0.95
     guiActiveUn
    0.94
     accuser
    0.92
     false
    0.89
     misrepresent
    0.81
     dich
    0.81
     falsely
    0.79
     equival
    0.77
     unfocusedRange
    0.75
     accusation
    0.74
    Activations Density 0.021%

    No Known Activations