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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. 4-RES-JB
    11. 1603
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    Explanations

    phrases related to physical damage or destruction

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "damaged" in various contexts

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

    No Comments

    Negative Logits
    gency
    -0.80
    atorial
    -0.78
    minist
    -0.75
    gent
    -0.73
    alled
    -0.71
    alogy
    -0.69
    ffic
    -0.68
    ult
    -0.68
    osate
    -0.68
    hunter
    -0.67
    POSITIVE LOGITS
     damaged
    0.92
     damages
    0.79
     badly
    0.77
     repair
    0.73
     damage
    0.73
     weakest
    0.71
    adoes
    0.70
     Ukrain
    0.70
     dere
    0.68
     Fukushima
    0.68
    Activations Density 0.020%

    No Known Activations