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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. 7-RES-JB
    11. 19450
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    Explanations

    phrases related to formal definitions or characteristics of concepts or entities

    oai_token-act-pair · gpt-3.5-turbo

    definitions and descriptions of concepts or terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.74
    clinton
    -0.67
    iak
    -0.64
    rics
    -0.64
    bash
    -0.64
    èĪ
    -0.63
     Recomm
    -0.62
    è¡
    -0.62
     Urug
    -0.62
    soDeliveryDate
    -0.62
    POSITIVE LOGITS
     absorbed
    0.81
     accumulated
    0.76
     resemblance
    0.76
     minus
    0.73
     dissolved
    0.73
     shortest
    0.70
    unicip
    0.69
     residual
    0.67
     soluble
    0.67
     subtract
    0.66
    Activations Density 0.579%

    No Known Activations