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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. 1-RES-JB
    11. 7532
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    Explanations

    references to individuals involved in criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to offenders, particularly focusing on legal or criminal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATIONAL
    -0.79
    ories
    -0.77
    plane
    -0.74
    planes
    -0.73
    porting
    -0.72
    zl
    -0.67
    bind
    -0.66
    Joy
    -0.64
    MT
    -0.64
    ml
    -0.64
    POSITIVE LOGITS
     offenders
    1.31
     offender
    1.25
     offend
    0.98
     offending
    0.95
     abusing
    0.87
     transgress
    0.86
    abuse
    0.84
     ineligible
    0.83
     trespass
    0.83
    tics
    0.81
    Activations Density 0.009%

    No Known Activations