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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
    11. 16952
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    Explanations

    phrases related to budget cuts in state agencies

    oai_token-act-pair · gpt-3.5-turbo

    instances of statistical or numerical data presented in a list format

    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
    iple
    -0.64
    abase
    -0.62
    ="#
    -0.62
    ploy
    -0.61
    ogl
    -0.61
     autop
    -0.61
    ĻĤ
    -0.61
    asma
    -0.60
    onse
    -0.60
    ographed
    -0.60
    POSITIVE LOGITS
     respectively
    2.11
    depending
    1.20
     alike
    1.19
     whichever
    1.11
     etc
    1.03
     depending
    0.98
     moreover
    0.95
    SPONSORED
    0.81
     although
    0.79
     furthermore
    0.76
    Activations Density 0.438%

    No Known Activations