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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. 23655
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    Explanations

    expressions of gratitude and promotion typically found in email sign-up confirmations

    oai_token-act-pair · gpt-3.5-turbo

    phrases and expressions related to subscriptions and engagement

    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
    abase
    -0.71
    senal
    -0.68
    affer
    -0.65
    alties
    -0.63
    anski
    -0.60
    akov
    -0.59
    Fax
    -0.59
    ospace
    -0.59
    igans
    -0.59
     majors
    -0.58
    POSITIVE LOGITS
    à¤
    0.76
     Scrolls
    0.73
    ãĤ¯
    0.70
    é¾įå
    0.68
    ä¸Ĭ
    0.67
     à¤
    0.67
    ãĤ¹
    0.66
    ãģ®
    0.64
    Īè
    0.64
    ãĥı
    0.63
    Activations Density 0.036%

    No Known Activations