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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. 3909
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    Explanations

    words related to personal qualities or attributes that can be evaluated or judged

    oai_token-act-pair · gpt-3.5-turbo

    aspects related to personal assessment and evaluation

    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
    urb
    -0.63
     Mann
    -0.63
    annon
    -0.63
    orks
    -0.62
     Frey
    -0.60
    vae
    -0.60
     Manufact
    -0.60
    ©¶æ
    -0.59
    bris
    -0.59
    tein
    -0.58
    POSITIVE LOGITS
    iest
    0.88
    iness
    0.86
     predicament
    0.79
     abilities
    0.78
     vis
    0.78
     profile
    0.77
     woes
    0.75
    worthiness
    0.74
     prowess
    0.74
     thesis
    0.74
    Activations Density 0.373%

    No Known Activations