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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. 8-RES-JB
    11. 3199
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    Explanations

    words related to technology and development

    oai_token-act-pair · gpt-3.5-turbo

    language related to hopes and future expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.75
     CIS
    -0.70
    esides
    -0.66
     âĢķ
    -0.65
    involved
    -0.61
    ablish
    -0.58
     Accountability
    -0.58
     scapego
    -0.57
    respective
    -0.57
    olit
    -0.56
    POSITIVE LOGITS
     fame
    0.83
     Guinness
    0.82
     Flickr
    0.75
     auction
    0.70
     guiActiveUnfocused
    0.69
     catalogue
    0.68
     curator
    0.68
     homage
    0.67
     royalties
    0.65
     festive
    0.65
    Activations Density 1.689%

    No Known Activations