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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. 16536
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    Explanations

    phrases related to encountering challenges or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "faced with" indicating challenges or difficulties

    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
    rust
    -0.76
    rats
    -0.68
    father
    -0.66
     trusts
    -0.65
    arp
    -0.65
    ibble
    -0.65
    sterdam
    -0.64
    ucky
    -0.63
    parents
    -0.61
    vacc
    -0.60
    POSITIVE LOGITS
     faced
    0.95
     faces
    0.81
     face
    0.81
     Faces
    0.77
     showc
    0.76
    face
    0.73
    faces
    0.72
     facing
    0.72
    onis
    0.71
    faced
    0.71
    Activations Density 0.017%

    No Known Activations