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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. 11422
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    Explanations

    phrases related to physical injuries or damage

    oai_token-act-pair · gpt-3.5-turbo

    words related to legal and advocacy 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
    soDeliveryDate
    -1.12
    elf
    -0.75
    erest
    -0.69
    CRE
    -0.68
    isSpecialOrderable
    -0.67
    ĸļ
    -0.67
    edom
    -0.64
     Fargo
    -0.64
     Helsinki
    -0.63
    ering
    -0.62
    POSITIVE LOGITS
    oute
    1.59
    acer
    1.10
    acers
    0.88
    phabet
    0.87
    cheon
    0.78
    oad
    0.77
    atis
    0.77
    ati
    0.76
    itic
    0.76
    nea
    0.74
    Activations Density 0.011%

    No Known Activations