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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18893
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    Explanations

    references to light emitting objects or phenomena, particularly those related to emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to flares in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ointed
    -0.80
    rified
    -0.75
    phis
    -0.74
    nesota
    -0.73
    ournal
    -0.71
    ordan
    -0.69
    arnaev
    -0.68
    onut
    -0.66
    ivan
    -0.65
    æĸ¹
    -0.65
    POSITIVE LOGITS
     flares
    1.26
     flare
    1.13
     flared
    1.03
     eru
    0.81
    lights
    0.81
    othal
    0.80
     lamps
    0.79
    fires
    0.76
     capacitor
    0.73
    waters
    0.73
    Activations Density 0.020%

    No Known Activations