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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. 6-RES-JB
    11. 9648
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    Explanations

    phrases related to causing instability or chaos

    oai_token-act-pair · gpt-3.5-turbo

    words related to physical and societal destruction or harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arten
    -0.76
    antage
    -0.74
    soDeliveryDate
    -0.72
    REL
    -0.69
    FORE
    -0.68
    Broad
    -0.68
    ror
    -0.65
     explan
    -0.65
    aird
    -0.65
    akedown
    -0.64
    POSITIVE LOGITS
    oxide
    0.74
     hordes
    0.73
     vomiting
    0.73
     limb
    0.70
     membranes
    0.70
     shells
    0.69
     corpses
    0.69
     wasteland
    0.69
     wast
    0.66
     membrane
    0.65
    Activations Density 0.144%

    No Known Activations