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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. 11312
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    Explanations

    phrases related to intimidating or threatening actions or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to identity and identification processes

    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
     Surviv
    -0.82
     surviv
    -0.77
     corrid
    -0.76
     princ
    -0.73
     antioxid
    -0.69
    spring
    -0.68
     unbeat
    -0.68
     dancers
    -0.67
     insects
    -0.67
    lords
    -0.67
    POSITIVE LOGITS
    idate
    1.12
    idian
    1.03
    umbn
    1.01
    hyde
    0.98
    idates
    0.97
    ptive
    0.88
    ptives
    0.88
    REDACTED
    0.85
    apter
    0.83
    çīĪ
    0.81
    Activations Density 0.034%

    No Known Activations