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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. 7-RES-JB
    11. 14157
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    Explanations

    Phrases related to aiding or supporting activities, often used in a negative context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to aiding or support in a negative context, particularly in legal or criminal situations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     ceilings
    -0.75
    peat
    -0.72
    lectic
    -0.70
    aqu
    -0.67
    pex
    -0.67
    limits
    -0.67
    reflect
    -0.66
    pler
    -0.66
    glass
    -0.65
     ponds
    -0.65
    POSITIVE LOGITS
     cause
    0.92
     persecuted
    0.88
     murderous
    0.88
     crime
    0.85
     atrocities
    0.83
     terrorists
    0.82
     rebels
    0.82
     terrorist
    0.82
     jihad
    0.80
     murderers
    0.80
    Activations Density 0.664%

    No Known Activations