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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. 9-RES-JB
    11. 23157
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    Explanations

    words related to negative or strained relationships

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to discontent or negative feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.75
    glers
    -0.73
     Falling
    -0.70
    swick
    -0.68
    frames
    -0.67
    Accessory
    -0.65
    ton
    -0.65
     briefs
    -0.63
    FORE
    -0.62
    FactoryReloaded
    -0.61
    POSITIVE LOGITS
    illation
    1.39
    anced
    1.35
    illery
    1.33
    ancing
    1.26
    ribut
    1.23
    ributes
    1.19
    illing
    1.17
    aste
    1.14
    ressing
    1.06
    ributed
    1.05
    Activations Density 0.034%

    No Known Activations