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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. 0-RES-JB
    11. 4983
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    Explanations

    phrases related to enrollment in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to enrollment in educational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stockholm
    -0.70
     bends
    -0.70
     Predator
    -0.70
     poles
    -0.66
     rum
    -0.65
    lad
    -0.63
     Cond
    -0.63
     Bomb
    -0.63
     Gareth
    -0.63
     Wim
    -0.62
    POSITIVE LOGITS
     enroll
    3.28
     enrollment
    3.23
     enrolled
    3.08
     enrol
    2.81
    rollment
    1.98
     enlist
    1.34
     tuition
    1.31
     eligibility
    1.22
     enlisted
    1.18
     academ
    1.15
    Activations Density 0.020%

    No Known Activations