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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. 6-RES-JB
    11. 4996
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    INDEX
    Explanations

    specific monetary amounts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial statistics and investments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.51
    tower
    -0.47
    iannopoulos
    -0.46
    )))
    -0.43
    uzz
    -0.43
    Dialogue
    -0.42
    lez
    -0.42
     Tsarnaev
    -0.42
     PARK
    -0.41
    assis
    -0.40
    POSITIVE LOGITS
     [|
    0.44
    Firstly
    0.44
     physic
    0.44
    jri
    0.43
     preferring
    0.41
    iton
    0.40
     vulner
    0.40
    earchers
    0.39
     livest
    0.39
     beforehand
    0.38
    Activations Density 4.160%

    No Known Activations