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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. 3-RES-JB
    11. 23248
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    Explanations

    phrases related to financial matters and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest the presence of events or conditions that are existential or conditional in nature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.81
    midt
    -0.74
    opol
    -0.73
    lahoma
    -0.72
    itcher
    -0.71
    owler
    -0.71
    virt
    -0.68
    ische
    -0.68
    night
    -0.67
    jong
    -0.67
    POSITIVE LOGITS
    ADE
    1.26
    LY
    1.26
    HEAD
    1.24
    ING
    1.21
    NESS
    1.21
     WITH
    1.20
    THING
    1.18
     FORM
    1.18
    IES
    1.17
    LES
    1.16
    Activations Density 0.098%

    No Known Activations