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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. 664
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    Explanations

    phrases related to informants, law enforcement, and criminal activity

    oai_token-act-pair · gpt-3.5-turbo

    references to informants in a criminal context

    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
    jri
    -0.76
    porting
    -0.72
    creation
    -0.70
    oos
    -0.69
    ports
    -0.67
    unders
    -0.65
    play
    -0.65
    place
    -0.65
    ŃĶ
    -0.64
     Kardashian
    -0.63
    POSITIVE LOGITS
     informant
    1.59
     informants
    1.40
     confir
    0.76
    ifer
    0.74
    ãĥ¼ãĥĨãĤ£
    0.69
    imity
    0.68
     conclud
    0.68
    ortium
    0.67
     "$:/
    0.67
     reviewers
    0.66
    Activations Density 0.007%

    No Known Activations