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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 4728
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    Explanations

    expressions related to excellence or high quality

    oai_token-act-pair · gpt-3.5-turbo

    the term "well" used in various contexts, particularly emphasizing quality or condition

    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
    hyde
    -0.76
    atto
    -0.73
    hip
    -0.73
    rush
    -0.68
    İĭ
    -0.64
    anish
    -0.64
    ory
    -0.63
    illary
    -0.63
    amera
    -0.63
    IENCE
    -0.61
    POSITIVE LOGITS
    enough
    0.88
     suited
    0.84
     enough
    0.77
    spring
    0.73
     behaved
    0.72
    esley
    0.72
    ards
    0.69
    nesses
    0.69
    Known
    0.67
    wired
    0.66
    Activations Density 0.055%

    No Known Activations