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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. 846
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    Explanations

    phrases related to victims

    oai_token-act-pair · gpt-3.5-turbo

    references to victims of various incidents or situations

    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
    CLASSIFIED
    -0.72
    GGGG
    -0.68
    ove
    -0.67
    OPLE
    -0.67
    OVA
    -0.66
    Style
    -0.64
    ATIONAL
    -0.64
     Huck
    -0.61
     monarchy
    -0.61
    UTERS
    -0.61
    POSITIVE LOGITS
     victims
    1.07
     Victims
    1.04
    vict
    0.83
     victimized
    0.83
     Survivors
    0.82
     Victim
    0.81
     victim
    0.80
    hip
    0.79
     inflicted
    0.76
     survivors
    0.75
    Activations Density 0.022%

    No Known Activations