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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. 3-RES-JB
    11. 22759
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    Explanations

    mentions of suspects or individuals believed to be responsible for something

    oai_token-act-pair · gpt-3.5-turbo

    references to a "culprit" or "mastermind" associated with negative actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    intend
    -0.72
    cyclop
    -0.70
    ORT
    -0.70
    astern
    -0.68
    ISTER
    -0.68
    pec
    -0.66
    zl
    -0.66
     Patriarch
    -0.65
    iring
    -0.65
    upp
    -0.64
    POSITIVE LOGITS
     culprit
    1.26
    s
    0.77
     offender
    0.77
    enary
    0.76
     mastermind
    0.74
     perpetrator
    0.71
     offenders
    0.69
    ãĥ¼ãĥĨãĤ£
    0.69
    æ©
    0.68
    sb
    0.67
    Activations Density 0.008%

    No Known Activations