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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
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    terms related to user logins and account credentials

    oai_token-act-pair · gpt-3.5-turbo

    terms related to user login and authentication processes

    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
    ahn
    -0.78
    anus
    -0.69
    icz
    -0.65
    child
    -0.63
    kos
    -0.62
    Ľ
    -0.62
     hurd
    -0.61
     tract
    -0.58
    oria
    -0.58
    olt
    -0.58
    POSITIVE LOGITS
     login
    1.07
     Username
    0.99
     Login
    0.99
     credentials
    0.94
    istical
    0.89
    ername
    0.89
     username
    0.81
    onymous
    0.80
    essed
    0.79
    Login
    0.78
    Activations Density 0.012%

    No Known Activations