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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. 2-RES-JB
    11. 1532
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    Explanations

    words related to destruction and elimination, particularly through explosive or incendiary means

    oai_token-act-pair · gpt-3.5-turbo

    terms related to explosives and destruction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.83
     Origin
    -0.72
     ACTION
    -0.70
    soever
    -0.70
    manship
    -0.68
     Faw
    -0.68
     Maid
    -0.67
    FACE
    -0.67
    IRO
    -0.67
     Butt
    -0.64
    POSITIVE LOGITS
    ating
    1.81
    ated
    1.78
    ation
    1.61
    ates
    1.53
    ate
    1.48
    ations
    1.40
    ator
    1.36
    ators
    1.31
    ational
    1.20
    ATED
    1.16
    Activations Density 0.040%

    No Known Activations