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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
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    Explanations

    places or situations where cameras are installed or used

    oai_token-act-pair · gpt-3.5-turbo

    references to surveillance cameras and their use

    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
    thritis
    -0.72
    nant
    -0.72
    fy
    -0.72
    lly
    -0.71
    heit
    -0.68
    paragraph
    -0.67
    num
    -0.65
    stad
    -0.64
    RET
    -0.63
    Sym
    -0.62
    POSITIVE LOGITS
     cameras
    1.24
     Camer
    1.14
     microphones
    1.14
    ynthesis
    0.94
     camera
    0.89
    pots
    0.80
     ank
    0.79
     microphone
    0.79
     taped
    0.79
     traps
    0.77
    Activations Density 0.013%

    No Known Activations